International Data Week - What Happened in Denver?
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Treloar, Andrew
Kethers, Stefanie
Wolski, Malcolm
Holewa, Hamish
Nisbet, Sarah
Vines, Richard
Murphy, Kieran
Smyth, Anita
This Webinar reports back on the International Data Week (Denver, USA, 11-17 September 2016) with a particular focus on the eighth Plenary of the Research Data Alliance (RDA), which took place from 15-17 September 2016 as part of International Data Week. The Plenary brings together more than 400 RDA members for a week of working together in groups to further international issues around data sharing. RDA members present newly released outputs and how existing outputs, e.g. from the Data Citation Working Group, have been adopted in other organisations. Speakers: Several Australian attendees present their impressions and take-away messages from the Plenary, highlighting individual sessions, new adoptable outputs created by RDA groups, and other aspects of interest to people interested in the RDA.
 Welcome everybody to the ENDS webinar on International Data Week, what happened in Denver? This is sort of a joint webinar, Andrew Chur and I, my name is Stephanie Kittes, we'll be talking for part of the time and then we get perspectives from a variety of participants of the International Data Week. So this is a brief outline, we'll just give a brief introduction and overview of the International Data Week and then we have eight people talking about specific aspects, sessions, outputs, things that they liked along the way during International Data Week. Okay, to give a little bit of context, CODATA holds a conference which is called CIDATA CON every two years and this conference has a research focus. The research data lines as you may know holds a plenary every six months and the current plenary was the eighth plenary, so we've been doing this for four years, and the plenary events have a strong practice focus and are meant for the research data lines working interest groups to come together and advance their work on their goals deliverables and also to bring people together to set up new interest in working groups and gauge the interest for them. So having those two things happen pretty much at the same time, gave an opportunity for the planets to align as Andrew put it. This is the first time this has been tried and this resulted in International Data Week which had two days of CIDATA CON on the Monday Tuesday, a day in the middle called International Data Forum and two and a half days of the research data lines plenary at the end, so the whole event ran from pretty much Monday morning till Saturday afternoon. And if you're involved in CODATA governments you were doing things on the Sunday before and there were even some co-worked events on the Saturday. So the intention of this was to bring the International Data Community together. It also exhausted everybody I think, although that wasn't the main intention of the event. Just to give some numbers, all together International Data Week had over 800, I think 816 participants from 42 countries which meant they attended some part of International Data Week, not necessarily all of it. CIDATA CON had about 640 participants and the RDA plenary 8 had 551 participants from 33 countries. It was very good to see that 21 Australians registered for the plenary. The plenary had about just over 70 breakout sessions where the groups came together and did their work. And personally I was extremely surprised to see that over 60 people attended the RDA newcomer session which happened to take place on Thursday morning at quarter past seven. So I was immensely impressed to see nearly 70 people in the room. And that was really great. Okay, I'll now hand over to Andrew. And so essentially all of those numbers, at least the RDA segment, can be right regardless having increased from previous years. So that's kind of consistent with the general growth trajectory for RDA as a whole. The people attending RDA for newcomers, I mean this was an innovation that we introduced in plenary three and we've done ever since and this is clearly meeting a need. One of the characteristics of RDA, I'll talk about things in a minute, one of the characteristics is that the plenary moves around so it's held in different locations each six months. And as a result it picks up lots of people in the country or the region that it's in who have never gone before and don't really have any good sense of what RDA is and how it's different. And so the RDA for newcomers is a great opportunity for those people to get a quick overview of what we're trying to do and some sense of how the plenary itself is structured. I was also particularly pleased with the significant increase in the number of Australians which is great. So the themes of the event were varied but there were some kind of common things that ran across them. So so David Conner-Stefanie said is much more like a conventional conference. There are traditional papers, not actual paper but there's publications that are associated with that. So I'll speak, there's short questions and clarification. And this year they said even though the committee is the committee on data for science and technology and even though COData has traditionally had more of a policy focus, this year they decided they wanted to look at research data infrastructure. They wanted to talk about issues of data sharing. They had a particular focus on central data and a particular discipline and this is on the Earth and space side. The International Data Forum was in the middle and it was intended as the sort of the overlap day between CIDATACON and RDA plenary and a number of the stories that came out of responsibilities of scientists, scientists in quotes because it was deliberately all research onto science and some of the data stories picked up the theme of sensitive data that CIDATACON had already talked about. And as you'll see in a little while some of the talks at Stefanie and I like best were in that kind of overlap area. The RDA plenary doesn't really have themes the way a normal conference has themes. So a normal conference will have themes to help people structure what they're putting in under the call for proposals. RDA plenaries typically are much more focused on doing stuff and so these were not explicit themes but they were themes that ran across for two and a half days. So the first thing was that of the increase in momentum in RDA. This is an organization that's continuing to grow, continuing to have people become interested in it. The second theme was the theme of the impact that RDA is having through the results of its working groups and interest groups. And the third theme was the adoption of RDA outputs. And so to talk a bit about those, here is a list of the adoptions that were featured at this particular plenary. So the Brokery and Governments Working Group had a series of recommendations for how you might construct connections between infrastructure components so that they go for a broker. You have a series of one-to-one connections into the broker rather than having to come up with multiple point-to-point connections. So that one's clearly got a very infrastructure builder focus. The Code Eight Summer School Working Group is more focused on providing how you would provide researchers with skills in working with data, using a train-to-trainer model, explicitly targeting Africa. Generally long, middle and complex. Yeah, the alert middle of income country is going to have a particular focus on Africa this year. The Publishing Data Services Working Group, which is co-led by Adrian Burton, had its recommendations revolve around the Scholex framework, which is a framework for connecting together different infrastructure elements within the overall publishing data ecosystem. The Biosharing Registry produced a whole series of recommendations on how you might describe elements within the life sciences. And the Method of Understanding's catalogue is attempting to do the oily ocean task of capturing all the Method of Understanding's they can get their hands on. In addition to that set of outputs, you notice those are all listed as WG on the slide. These are working group outputs. We have what we call supporting outputs from interest groups, a very comprehensive set of principles on legal interoperability from that interest group. And the 23 Things material coming out of the libraries for research data interest group now translated into lots of languages. And I was very pleasing to see the astonishing success of Anne's promotion of the 23 Research Data Things in Australia being highlighted at that event. In addition to those outputs, so the outputs are effectively here are things that you can pick up and use. We had a whole series of talks at the plenary about, well, talks from groups who were actually adopting stuff. And I'm not going to go through all of these in detail. We have links at the end that we'll highlight when we get to that point to the videos. If you're all interested in looking at how RDA is making a difference in the activity of particular communities, I strongly encourage you to go to the adoption stories section of the videos because there you've got people who aren't necessarily infrastructure builders talking about how they're using these outputs to improve either the support that they give to people with disciplines or the actual work they do themselves. So for instance, the data citation of rice, genome data is a strong focus of the interest group and agricultural data at the moment. So rather than try and summarize those, I would encourage you to go to those videos and have a look at those links. If you have any one comment, the data citation working group recommendations have been adopted by quite a few of those adopters. So if you're interested in dynamic data citation, it might be worth having a look at what's been done with those. And some of you may remember under Acerolba gave a talk about that. We did this year, late last year. He was out in Australia and we said, great, wonderful, you just come off the plane. Here's the shower and now we'd like you to give a talk. And the recording of that is available from the end, Steven's page. Yes, of course. Thank you. So let's give you a sense of some of the activity that happened. We then thought rather than just point you at the websites for these three different events and say, have fun, we thought it might be useful to talk a little bit about some things that we liked. So Stephanie and I will start with things that we found of particular interest at the event and then we have perspectives from a number of other Australian attendees who will talk about what they liked. So two things that I wanted to highlight. The first was going to be a birds of a feather session called Mapping the Landscape, which was really bringing people together who were interested in the topic of how do we map out all of the different activities that are happening in this area and get a sense of what's going on. And this was something that the hyperactive lesbian I've organized. And over the course of the week, she kept bumping into people who said, oh, we're doing a Mapping the Landscape activity as well. And oh, did you know those people are doing a Mapping the Landscape activity? And so that by Friday when that session was actually held, it had actually turned into a Mapping the Landscape of Mapping activities. So I was trying to get a sense of who are all of the other people who are trying to do Mapping the Landscapes in various ways. And that for me was a real demonstration of two of the benefits of bringing lots and lots of data nerds together into one space. The first is that you've got lots of people in one spot who you otherwise wouldn't normally see. And I've said in the past that all of the research data lines did was hold meetings twice a year. That would probably be it. That alone would add value. And the second thing is that you bump into people and you have these serendipitous conversations. So Leslie didn't know a lot about a lot of these things. I didn't know about a lot of these things. And so as a result of these serendipitous interactions, she was able to make that session much better. The group recognized, yet we are all trying to solve similar problems and we should, we need to try and do this in a more coordinated way. And so this is going to be a birds of a feather that's going to turn into an interest group and the interest group. In fact, there's already, or the proto-interest group, we're already starting to think about are there particular tasks that we could spin off as working group activities, which is, in my view, precisely the way the RDA processes need to work. The other thing that I wanted to highlight was a whole session on building a disciplinary work like data infrastructure. This was on the International Data Forum Day. And so this was essentially a whole lot of groups reporting on how do we do infrastructure in our discipline and what are the science, in quotes, drivers for it and what are the lessons we've learned. And this was very broad. So you can see it's not just hard sciences, it's linguistics and digital humanities. And as a quick way to get a sense of how different disciplines differ in, that's a very good way of doing it. I should also mention in this context the closing keynote for the International Data Forum Day by Christine Bournemont, who spoke about some early research that her group has been doing essentially on the same thing. We're looking at disciplinary differences around data sharing. And there are some huge differences around data sharing. And I think it's valuable for us to not just assume that data sharing is the same for everybody. And we need to recognise there's a lot of nuance there. Stephanie? Okay. So I'll talk a little bit about two things that I liked. One of which is because my background is in quantitative research, I've always been interested in how to share and when to share personal sensitive research data. And I particularly like to talk in one of the SciDataCon sessions on that by Neil Walker, who talked about data anonymity and the fact that in many cases data anonymity actually makes data access harder because it looks like it works but it doesn't really. And he brought a couple of examples of how and why the anonymisation doesn't work. So for example, he had one data set that he mentioned where someone looked at a specific disease and aggregated the data by country. Now in theory that would have been great but for example in France there was just one, two persons who actually came out of that data set. One was male, one was female. So the identification really didn't work in that case. And that's something that I've actually, I find quite interesting. The second thing I like is more a process kind of thing after having had several days of conference where someone stands at the front and talks and everyone in the back sits and listens while it does their email. What I found very refreshing was the interest group for archives and records professionals in RDA which for the second time in a row that I'm aware of actually set up in their breakout session, little breakout session. So they made little breakout groups with specific topics and really brainstormed and worked through the issues that they gave us to discuss. And I found that a very refreshing and a very much more interactive way and I felt I was contributing way more than in a discussion where you have 30 people in a room. And one person says something and the other 29 are listening. So I really enjoyed that and thought that was a very good way of doing this. Now we have a list of people that have volunteered or have offered when asked to provide their perspectives. Okay, so Malcolm, I guess other than the opportunity to network, the one we're asked to think of something in particular, one of the interest groups I've been involved with for about 18 months is the, calls itself the long tail of research data interest group. We were going to have a meeting at Denver so we decided just to give it some focus, a few of us tabled a document, 10 ways to support the long tail of research but it quickly became apparent that we'd missed the target completely. So the way the meeting, the interest group agenda was we tabled the document and then had 10 two minute speakers to respond to the document. And we had the likes of Christine Borgman, someone from Mendeley and Fig Share, we had a rep from the European Open Science Cloud. So a really wide variety of different senior representatives from different groups if you like. And as we worked, they went through and gave their two minute response. Most didn't like what we've written. Not that there was anything wrong with the content but missed the target. The end result was that we should be, if we're targeting funders, we should be thinking about the long tail of research data in terms of orphan data rather than our perspective which is the long tail of research. But I guess the key, the interesting bit I found about the whole exercise was nine or 10 people from a wide variety of international organisations talking for two minutes can come to a pretty quick conclusion about where we should be heading which is very hard to do through an online interest group but also typically other conferences where you only get one or two of those people speaking. You don't actually get them in a room to contribute to a 90 minute discussion on where to from here. So I found that particularly valuable and I don't notice that in many other conferences where you get a lot of broad spectrum from all sides, from institutions, from vendors, from government representatives, from key people like Christine Borgman talking to a particular topic in a practical sense. Thank you very much, Malcolm. That was very interesting. Hamish, Holola, are you there? Thank you. I'm from Griffith University and the Queensland Cyber Infrastructure Foundation. I was fortunate enough to attend Research Dera Alliance in Denver. I actually kind of found it to be quite a good organisation, a good method to both network but also to understand how a lot of the larger collaborative programmes, the sustainability, sustainable sustainability goals, the group of Earth observations, our COData, our side data and RDA actually work together to actually promote and formalise best practice and standards and actually to get much greater awareness across this kind of landscape. It was also quite a – I also attended a workshop called the – well, an interest group called the Virtual Research Environment Science Gateways and Opportunities for Developing a More Coordinated Approach to Support Interoperability Across Different Systems. This is of particular interest as it provided an international perspective on things that we classify here as virtual laboratories and how in Australia we've been doing and what is the challenges and lessons learned in the international context. Within that session there was – well, there was three speakers, four speakers may have been included but there was a speaker from Purdue University who was leading the NanoHub or Hub Zero initiative which has got about 1.4 million users at the moment and then there was also a person, Demetrius, that was leading a virtual research environment in the UK. There was really actually – what was quite interesting is that I think Australia is actually quite organised actually in this approach within virtual laboratories and the infrastructure approach but sustainability came up as a key issue and how do we actually grow these services and there was similarities across those international contexts. So there was the approach of expanding vertically quickly to provide that proof of concept and also to show value was universally recognised. You need to also always be justifying your existence and measuring your impact and measuring impact is not just always about users but it's about what they do with that and that could be research and government and also that a strong kind of method that when you're approaching developing these environments is that really you're starting a small enterprise as such. It's not just a program or a platform. You need to think about learning and you need to think about teaching and how you actually integrate this within to curriculum and into research practice. A particular note there from Hub Zero and Nanotech was that they see uptake in learning for their research tools so in education first there's about nine month lab before that actually comes into research despite having a research driven agenda. That's just quickly from my own perspective the breadth of topics actually was quite bewildering. Anything from social to biodiversity to health to digital humanities and everything in between and it was a great networking event and a lot of people attended. Thank you. Okay, thanks so much Hamish. Yes, it was a bit overwhelming I think for all of us but I mean nearly seven days of this was quite overwhelming. It is possible to have too much data. Okay, thanks very much. Next, Sarah, Mr. from ESL if you're there. I am here and yeah, so I'm Sarah Disbett. I'm from E Research USA in South Australia and just quite grateful to have power at the moment. So I recently became the project lead for the RDS 1.6 Cultures in Community project so I attended the RDA plenary sort of in that context so I was particularly interested to sort of find out what the interest groups around the digital practices in history and ethnography and the archives and records professionals was sort of doing and what was happening in those spaces and Stephanie I guess my experience was similar to yours and perhaps my favourite thing was attending that archives and records meeting and just the sort of interactive nature of it and being able to sort of participate actively rather than sort of listening to the participant. So I mean I sort of broke off into a working group around skills and training for sort of digital skills and training for archived professionals and sort of able to share what some of our plans were in the RDS project and some of the things that we want to achieve in the next phase of the project and really enjoyed the opportunity to sort of like be actively engaged. I also, this is my first RDA plenary and sort of feel like quite a newcomer to this space so I enjoyed the newcomer session and yeah I thought it was a very positive experience I learned a lot and I think what I really wanted to achieve was to sort of improve my understanding of the research data landscape and I think it did that. I think moving forward I really want to see how the outcomes of the RDS project, how they sort of pan out and how we can feed that back into the archival interest groups. So yeah so thank you Ann for the opportunity. Okay thanks so much Sarah. Okay the next speaker would be Richard Lyons from the Victoria State Government Department on and I'm sure I'll forget something. It was jobs, transport, economy, resources and something else. Richard if you're there I've got your slide here. We're from the Department of Economic Development Jobs, Transport and Resources so well done Stephanie it's a mouthful and we're part of the agricultural Victoria portfolio. I just reiterate my hands for supporting us in attending the RDA. I found the RDA and both Kieran and I found the RDA a very well organized, it was an exceptionally well organized event. It was also really heartening to see so many interest groups trying to grapple with some of the problems that we've been noticing in our closets if you like in our work practice in place and so the sort of pragmatic practical approach of conversations on a global scale was really something that was outstanding and so the thing that stood out to me was for my own particular point of view is that I attended a number of the sessions including the archives one and I too found that really useful and across the sort of five or six areas that I focused on we began to be able to build a map of all of the various elements that we're having to grapple with in our work in relation to data management and so I've mapped that out there just through as a probably couple of hours just of thinking and discussing this with a few people and it is the case that our department actually touches almost all of those areas so we've got one of the most complex working dynamics that I've ever experienced in my working life and so we touched just about all of those elements in the matrix and so it was and then we also observed the various activities around the enabling features data management plans interoperability strategies and so on so to be able to put that all together in a bit of a landscape was the most useful thing to me and we hope to work with a number of our stakeholders to actually create some web resources to link all of these to provide some and link to our DA activities in all of those areas over the next six or so months and we also took into the meetings a very strong interest in archival and records management because of a particular tool that we've invested in the department and we were exceptionally pleased to notice that that tool seems to be well conceived and for what many of the people are grappling with so we are very pleased to have that sort of feedback so I will stop there I think and just thank you once again to Anne's. Thanks so much Richard. Kieran Murphy also from the department, did you want to add something? Yes, definitely. Andrew thanks again and just to echo Richard's thanks to Anne's for the support to head over to the conference it was certainly I'd want to say it's the best event I'd been to in my professional time here at the department in ten years maybe selfishly because it's very much right then the problems that Richard said we've been grappling with and I was a little bit concerned before we left you know with some of the world we're in and going there with the quality of the speakers and presentations there that could have been a little bit over my head but it was right down the alley and we've got so much from it so thanks very much to Anne's for the support. I just a really practical example you know obviously the newcomers for RDA session was really available to go there and I think Stephanie and I said there was there might have been 60 people at that session, 60-80 so it looks that the RDA model is growing there's a lot of new people there so basically being a newcomer and then participating in the events during the week and all the breakouts obviously really excited to go along to things such as the you know an emerging interest group in agile data curation which is a really data curation is a high priority capability area that we're focusing on in our area and I know we're called the big long name but we also were a branch or a division called Agriculture Victoria so whilst we're representing the interest in the agriculture sector but obviously the lessons we've learned there will be spread further across the department so just probably I've got a lot of notes I've actually only just landed back in the office today I took a few days off since when I got back from the US because Richard and I extended our visit to University of Illinois and post Denver so that was really valuable because the lessons the learnings from Denver got supported and I guess furthered in what we worked out in the university and the context there so I'll have some time together and my thoughts and put together our report and we're happy to share that with everyone but as Richard said it really does align to the problems we've been grappling with the product that we've the tool that we've developed in the last few years which was very well received over there and we hope we can contribute that to the Australian landscape in whatever shape or form and I'm sure we'll be doing that through ands but practical take home is around that the working groups and interest groups in agile data curation as an emerging interest group which I've joined and then the working groups that reported on that are obviously really relieved to see some artwork that the commons and the fear principles have created so might go on too much longer Stephanie thanks for the give me as a chance to catch up. Thanks June and maybe we can talk about say if you want to present your report as a blog post or something like that we can help again. Okay and Anita, how are you there? Yes, hi everyone, I again am getting feedback, I think it's better now, no it's improved. Yes, so thanks again to An's for contribution towards going to the sessions, in fact if it wasn't there I'm from Tern Ecoinformatics at the University of Adelaide and mainly work on the ECOS portal and also the shared data submission tool and we're basically on subsistence money so it was really important to visit and for me I guess in terms of what we do here I'm in the data sort of publishing realm and I guess my role is trying to merge or bring together publishing policies in a way that really reflect long established science practice and I've been reading a lot about the co-data recommendations and papers and that and also the RDA recommendations so it was absolutely fabulous to actually get there and see how these two groups work together collegially to sort of guide us in the international sphere in this area so that was really important to participate in that. I was kind of like a kid in a candy shop, there were so many things that I could have come to of interest but the one that really stood out for me and it was mentioned in Simon Cox's talk in the plenary but also it was mentioned in quite a few other sessions and this is the notion of trustworthiness of the data that is published openly in repositories and things like that and how the recommendations that are coming through in terms of principles and guidelines through the various working groups may well give some kind of basis for working out or identifying the levels of trustworthiness in terms of our infrastructure so that had huge implications for the kind of systems, the infrastructure that Tern has and it really overflowed in a whole range of areas, it came through in terms of ontologies and generalities you could have in ontologies in terms of control vocabs, it came through and it also came through in this whole notion of reproducibility and the different like I hadn't realized there were three levels of reproducibility or three types of reproducibility so that was absolutely fascinating. Going forward I guess from a Tern perspective it would be really great to use some of our infrastructure as case studies for the next lot of working group activities particularly in the publishing data services and in that space we'd really like to be involved in that and it's good to feel that you're not alone in thinking about these things, it was really great thank you. And also it's the location, the organization, it was just brilliant, it was a really well run, well run sort of week, thanks to everyone. Thanks very much Anita and yes thanks again to all our contributors for their insights so we do have a bit of time for questions at this point. We thought we should provide you with some information where you can go and look further and so there was quite an active conference in terms of tweeting under a number of different hashtags, hash IDW 2016 and hash IDA plenary for the plenary event. For those of you that are looking at the hash IDW 2016 hashtag now and wondering why there are so many tweets about deafness it's because after we ran our event there was international deafness week for 2016 and we got a hashtag collision. The archive that's listed on the screen there, please don't try and memorize that, it will be in the slides which will be available after the session on the end of the page but that just captured the tweets for these events. The programs themselves are online with links to the presentations so if you go down the slides you can, there's also videos for much of the material not however the breakout sessions for the actual research data reliance plenary only for the sessions that were happening in the main room. Much of the work of RDA as you've heard already happens in working groups and interest groups and these were in 8 parallel tracks or something like that and so there isn't video from those but there's certainly video from the main space. Most of the groups that help the breakout sessions have material either being from the program or from their group pages. And finally there's some blog posts that are being aggregated together. They currently sit on the codeator at the moment or the codeator at all website but there's blog posts for a whole range of people including RDA people that's simply been used as a point to pull them together. So lots of additional information for people to go and look at if they want. So having said that, Suzanna, alright thank you, yes, Stephanie has reminded me that too much RDA is barely enough to quote Roy and HG and if you would like more information on RDA, Stephanie and I are running two bots at a research. One is essentially on why you might want to use the research data reliance to solve particular data problems. So you've heard already today for a number of people about how they got the venue out of the RDA experience and process in realising other people are tackling the same problems. We're running a bot that will help you understand how you can get more involved in RDA in terms of building solutions and then the second bot is focused on how you might adopt some of those outputs that we talked about at the start of this webinar. So if you're interested in either of those they'll be on at the research conference if you're coming to that. And bearing in mind that RDA has produced quite a few more outputs than the ones that were presented at this particular plenary because the plenary output sessions only talk about outputs that are either presented for the first or sort of that are where working groups finish and present their outputs at this plenary or where they are going to be finishing in the next six months and will be presenting their final outputs at the next plenary. So there's a sliding window. Yes, so on the RDA website there is a page under outputs and recommendations called all outputs and recommendations I think and then you'll find a list of probably over a dozen at this point. Okay, so Suzanna has anyone typed any questions in chat? Actually no. Okay, well, so if no one has any questions, this is your last chance. Oh no, actually no one's coming. Here we go. What do you think of the priorities for ANZ and the follow up? The follow up to International Data Week. I guess the priority, well, I don't know if I can speak for ANZ as a whole. I can certainly speak personally and I should explain that Stephanie and I, we work for ANZ but in a sense we work for RDA as well. Stephanie, they literally works for RDA as their director of operations three days a week and I work in air quotes for RDA as co-chair of the technical advisory board and so I suppose, well, do you want to give your answer first then I'll give my answer? You can answer. Okay, so my answer would be really very much in line with the slide that's on the screen at the moment. I would like to see more Australians using the RDA processes to solve data problems, so more involvement in working groups and interest groups. The fact that more people from Australia were coming to this event was great. The positive stories that we've heard today was also great. I'd like to see more Australians involved in using RDA and not just in running it. And then the second thing I guess I'd like to see from an ANZ perspective is more adoption of the outputs. So if you may have heard of RISP Francis in the past talk about how Australia should be not trying to reinvent the wheel all the time in the research infrastructure, we should be adopting what's happening overseas. RDA is a great place to go to look for things that you can adopt. The other citation Stephanie mentioned is just one example of that. So more people involved in solving problems through RDA and more people involved in picking up outputs would be our answer. Yes, so more people in Australia getting benefits out of the research data lines is I guess how we could summarize that. And part of why we are doing those first and final sessions at U-Research is because not everybody knows a lot about the research data lines. We just want to make sure that more people have a chance of hearing about it and hearing what it can do for you really and how you can help it as well. So it can be a win-win situation. As the RDA Director of Operations, I have a strongly internal role. So at the moment I'm actually trying to make sure that some of the processes within the research data lines work more smoothly. So that is my priority following up from international data week, which has nothing to do really with the outward reaching phase of RDA, but more with making sure that people actually can use the research data lines and can get benefit from it by making sure the organisation works with it. So just wondering, if not the other website collaboration, OSF. I joined with OSF. I understand the question correctly. OSF.io is a hosted platform for research collaboration. You can think of it as being a little bit like a light form of a virtual laboratory, although it's mostly focused on managing data rather than on integration with tools. You could use it for some of the kind of collaborative activity that the RDA also supports, but the intention of the research data reliance website is basically to do two things. The first is to provide information about what RDA is and how it's structured and what it does and its outputs as Stephanie has already identified. But there's a second, if you like, once you log in as a registered RDA member and anyone can become an RDA member for free. Once you log in and join particular groups, each of those groups have their own space with mailing lists and wikis and file repositories that they can use to manage their own processes and outputs. One of the reasons that some people decide to use the RDA system is simply because it gives them all of that collaboration infrastructure for free. So I hope I answered what I think the question was. Maybe just to add one thing. As Andrew said, the RDA website of course also has the purpose of showing information on the RDA, but we also have requests for comments, open anomalies. So that means on the RDA website you can find documents that are currently under what we call community review and where we actively ask the community to provide comments. And for that purpose the RDA website is a central point to do so. I just want to make a comment about something that Andrew said. I think one of the priorities for other institutions in Australia is to participate more in the review of the outputs before they become outputs. So they're published on the RDA website. So I guess what we're looking for is feedback on whether, well how practical their recommendations are and whether they can be adopted within your institution. So even if it's a good comment or a negative comment, constructive criticism, it would be useful because no comment doesn't give you a good direction whether it's a good recommendation or not, so the more feedback about the outputs that are up for community review the better. So I'd like to see more Australians involved with that process. Now that's a great point Malcolm. I was taking a slightly parochial tan focus on things rather than thinking broadly, more broadly. And I should emphasise the incredibly valuable role that the organisational assembly members play in RDA because they're the people who are working in organisations that are going to be adopting the outputs. So their role in the RDA process is extremely important. Any other questions, Susanna? Okay, there's another one. It says, is there a particular page for these draft outputs? Is there a particular place for the draft outputs? Is that the question? Yes, is there a particular page for these draft outputs? Okay, yes. Is it the outputs page? Yes. So on the one hand there's the outputs page which is under outputs and recommendations, all outputs and recommendations. That's a list of outputs. The first set is endorsed outputs which means they're the ones that have already gone through the review process. Then we have recommendations currently being endorsed or something like that. Hang on, let's just have a look. What's it actually called? Recommendations for draft endorsement in process. And they're the ones that we actually really like those comments on. And we do highlight some of these in the request for comments box. Once the recommendations have been formally submitted to RDA for consideration, they end up in the request for comments box. And that's when we really, really, really want community comments. And also comments from the organisation members that are presented by the organisation assembly. What we're trying to determine is whether these outputs are actually useful to anyone, to real people, not just in theory. A fit for purpose. Yes, a fit for purpose and also yet adoptable with reasonable amount of effort. So if you go to rd-alliance.org, right up at the top of the screen there's the words, recommendations and outputs and that will let you get to them. Okay, there's one more question which says, what has been discussed in Denver about the facilities for developing countries? So I can point to a couple of things. One was as I mentioned the RDA summer schools has got a particular focus on improving the standard of education in data issues for researchers from developing countries. There was a keynote from one of the RDA council members, K. Raza Roka from Botswana, talking not just about issues relating to Botswana but about data issues ranging across the whole of the African continent. And the other thing I'd point out is that although RDA is currently, the RDA membership is drawn primarily from Western Europe and the United States consciously working to expand that out and so we have an increasing number of members from South America and in fact at this election, the current technical advisory board election which is closing real soon now, one of the candidates is from India. So we are starting to broaden out the geographical base for RDA which from my point of view is extremely welcome. And one of the adoption stories that was presented at the RDA plenary was the one about rice. They were working with people in the Philippines. Yeah, the International Rice Research Institute. Yes. And the leader of the interest group on agricultural data is from Brazil, Argentina. So the agricultural cluster of interest working groups actually has a better, it involves geographical spread. Yes. So they become Adali who's from India. She's one of the top candidates. She's also heavily involved in the agricultural interest group for example. So that, I mean it's sort of natural that there's more of an involvement from South America and Asia. Not so much Africa I don't think. No, that's the need to comment. Okay, we have another question which says, Co-data RDA Research Data Science Summer School. Will it happen in Australia? If not, why? I have no idea. Can I answer that one? Oh sure. So this was something we've been talking with Simon from Co-data and Simon Hodson and Q-SIF. And just trying to get ahead around what's the difference between what Co-data offers as a summer school and what we offer already in Australia and things like software, carpentry. I think we're looking at all the carpentry and some of the sub-components. The thing about the Co-data, especially the one in Trieste, it's a three week summer school and they did target a lot of, a lot of the participants were funded from various sources from developing countries. So I guess our last conversation around this topic with Q-SIF is, will people really turn up for a three week conference in Brisbane or Melbourne or is it better offered in shorter modules and if they're in shorter modules where we already run software carpentry, so what are the missing elements? So definitely like the curriculum's open, there's some parts of the curriculum they offer that we have big gaps in, especially around visualisation and probably some of the HPC machine learning stuff. But I suspect there's courses around Australia online that are already meeting that need as well, so probably to reiterate an earlier problem why we wouldn't want to reinvent the wheel if there is some good programmes already available. So it's a matter of I guess trying to decide do we want a summer school or get more managed or focused or get a coherent group of courses together under a banner, if that makes sense. Definitely the codata stuff, sorry I was going to say the codata open curriculum especially if you can find the one at Trieste is quite interesting to have a look at. I'll put the link where the material has been deposited into the slides as well. And I will also, I should also make the point that the developers of the curriculum for the RDA summer school were talking closely with David Flanders about the links with the RESBAS curriculum and I believe there's significant overlap between the RESBAS curriculum and the summer school curriculum. So in a sense much of the material that was covered has already been offered in Australia through the RESBAS vehicle. Okay we're over time so I think we might wrap it up there. Thank you all for attending, thanks in particular to the Australian attendees who provided their perspective on the event. The slides including those links will be available on the events page real soon now. And thanks for coming in, enjoy the rest of your day.
 Welcome everybody to the ENDS webinar on International Data Week, what happened in Denver?  This is sort of a joint webinar, Andrew Chur and I, my name is Stephanie Kittes, we'll  be talking for part of the time and then we get perspectives from a variety of participants  of the International Data Week.  So this is a brief outline, we'll just give a brief introduction and overview of the  International Data Week and then we have eight people talking about specific aspects,  sessions, outputs, things that they liked along the way during International Data Week.  Okay, to give a little bit of context, CODATA holds a conference which is called CIDATA  CON every two years and this conference has a research focus.  The research data lines as you may know holds a plenary every six months and the current  plenary was the eighth plenary, so we've been doing this for four years, and the plenary  events have a strong practice focus and are meant for the research data lines working  interest groups to come together and advance their work on their goals deliverables and  also to bring people together to set up new interest in working groups and gauge the interest  for them.  So having those two things happen pretty much at the same time, gave an opportunity for  the planets to align as Andrew put it.  This is the first time this has been tried and this resulted in International Data Week  which had two days of CIDATA CON on the Monday Tuesday, a day in the middle called International  Data Forum and two and a half days of the research data lines plenary at the end, so  the whole event ran from pretty much Monday morning till Saturday afternoon.  And if you're involved in CODATA governments you were doing things on the Sunday before  and there were even some co-worked events on the Saturday.  So the intention of this was to bring the International Data Community together.  It also exhausted everybody I think, although that wasn't the main intention of the event.  Just to give some numbers, all together International Data Week had over 800, I think 816 participants  from 42 countries which meant they attended some part of International Data Week, not  necessarily all of it.  CIDATA CON had about 640 participants and the RDA plenary 8 had 551 participants from  33 countries.  It was very good to see that 21 Australians registered for the plenary.  The plenary had about just over 70 breakout sessions where the groups came together and  did their work.  And personally I was extremely surprised to see that over 60 people attended the RDA  newcomer session which happened to take place on Thursday morning at quarter past seven.  So I was immensely impressed to see nearly 70 people in the room.  And that was really great.  Okay, I'll now hand over to Andrew.  And so essentially all of those numbers, at least the RDA segment, can be right regardless  having increased from previous years.  So that's kind of consistent with the general growth trajectory for RDA as a whole.  The people attending RDA for newcomers, I mean this was an innovation that we introduced  in plenary three and we've done ever since and this is clearly meeting a need.  One of the characteristics of RDA, I'll talk about things in a minute, one of the characteristics  is that the plenary moves around so it's held in different locations each six months.  And as a result it picks up lots of people in the country or the region that it's in  who have never gone before and don't really have any good sense of what RDA is and how  it's different.  And so the RDA for newcomers is a great opportunity for those people to get a quick overview of  what we're trying to do and some sense of how the plenary itself is structured.  I was also particularly pleased with the significant increase in the number of Australians which  is great.  So the themes of the event were varied but there were some kind of common things that  ran across them.  So so David Conner-Stefanie said is much more like a conventional conference.  There are traditional papers, not actual paper but there's publications that are associated  with that.  So I'll speak, there's short questions and clarification.  And this year they said even though the committee is the committee on data for science and technology  and even though COData has traditionally had more of a policy focus, this year they decided  they wanted to look at research data infrastructure.  They wanted to talk about issues of data sharing.  They had a particular focus on central data and a particular discipline and this is on  the Earth and space side.  The International Data Forum was in the middle and it was intended as the sort of the overlap  day between CIDATACON and RDA plenary and a number of the stories that came out of responsibilities  of scientists, scientists in quotes because it was deliberately all research onto science  and some of the data stories picked up the theme of sensitive data that CIDATACON had  already talked about.  And as you'll see in a little while some of the talks at Stefanie and I like best were  in that kind of overlap area.  The RDA plenary doesn't really have themes the way a normal conference has themes.  So a normal conference will have themes to help people structure what they're putting  in under the call for proposals.  RDA plenaries typically are much more focused on doing stuff and so these were not explicit  themes but they were themes that ran across for two and a half days.  So the first thing was that of the increase in momentum in RDA.  This is an organization that's continuing to grow, continuing to have people become  interested in it.  The second theme was the theme of the impact that RDA is having through the results of  its working groups and interest groups.  And the third theme was the adoption of RDA outputs.  And so to talk a bit about those, here is a list of the adoptions that were featured  at this particular plenary.  So the Brokery and Governments Working Group had a series of recommendations for how you  might construct connections between infrastructure components so that they go for a broker.  You have a series of one-to-one connections into the broker rather than having to come  up with multiple point-to-point connections.  So that one's clearly got a very infrastructure builder focus.  The Code Eight Summer School Working Group is more focused on providing how you would  provide researchers with skills in working with data, using a train-to-trainer model,  explicitly targeting Africa.  Generally long, middle and complex.  Yeah, the alert middle of income country is going to have a particular focus on Africa  this year.  The Publishing Data Services Working Group, which is co-led by Adrian Burton, had its  recommendations revolve around the Scholex framework, which is a framework for connecting  together different infrastructure elements within the overall publishing data ecosystem.  The Biosharing Registry produced a whole series of recommendations on how you might  describe elements within the life sciences.  And the Method of Understanding's catalogue is attempting to do the oily ocean task of  capturing all the Method of Understanding's they can get their hands on.  In addition to that set of outputs, you notice those are all listed as WG on the slide.  These are working group outputs.  We have what we call supporting outputs from interest groups, a very comprehensive set of  principles on legal interoperability from that interest group.  And the 23 Things material coming out of the libraries for research data interest group  now translated into lots of languages.  And I was very pleasing to see the astonishing success of Anne's promotion of the 23 Research  Data Things in Australia being highlighted at that event.  In addition to those outputs, so the outputs are effectively here are things that you can  pick up and use.  We had a whole series of talks at the plenary about, well, talks from groups who were actually  adopting stuff.  And I'm not going to go through all of these in detail.  We have links at the end that we'll highlight when we get to that point to the videos.  If you're all interested in looking at how RDA is making a difference in the activity  of particular communities, I strongly encourage you to go to the adoption stories section  of the videos because there you've got people who aren't necessarily infrastructure builders  talking about how they're using these outputs to improve either the support that they give  to people with disciplines or the actual work they do themselves.  So for instance, the data citation of rice, genome data is a strong focus of the interest  group and agricultural data at the moment.  So rather than try and summarize those, I would encourage you to go to those videos  and have a look at those links.  If you have any one comment, the data citation working group recommendations have been adopted  by quite a few of those adopters.  So if you're interested in dynamic data citation, it might be worth having a look at what's  been done with those.  And some of you may remember under Acerolba gave a talk about that.  We did this year, late last year.  He was out in Australia and we said, great, wonderful, you just come off the plane.  Here's the shower and now we'd like you to give a talk.  And the recording of that is available from the end, Steven's page.  Yes, of course.  Thank you.  So let's give you a sense of some of the activity that happened.  We then thought rather than just point you at the websites for these three different  events and say, have fun, we thought it might be useful to talk a little bit about some  things that we liked.  So Stephanie and I will start with things that we found of particular interest at the  event and then we have perspectives from a number of other Australian attendees who  will talk about what they liked.  So two things that I wanted to highlight.  The first was going to be a birds of a feather session called Mapping the Landscape, which  was really bringing people together who were interested in the topic of how do we map out  all of the different activities that are happening in this area and get a sense of what's going  on.  And this was something that the hyperactive lesbian I've organized.  And over the course of the week, she kept bumping into people who said, oh, we're doing  a Mapping the Landscape activity as well.  And oh, did you know those people are doing a Mapping the Landscape activity?  And so that by Friday when that session was actually held, it had actually turned into  a Mapping the Landscape of Mapping activities.  So I was trying to get a sense of who are all of the other people who are trying to  do Mapping the Landscapes in various ways.  And that for me was a real demonstration of two of the benefits of bringing lots and lots  of data nerds together into one space.  The first is that you've got lots of people in one spot who you otherwise wouldn't normally  see.  And I've said in the past that all of the research data lines did was hold meetings  twice a year.  That would probably be it.  That alone would add value.  And the second thing is that you bump into people and you have these serendipitous conversations.  So Leslie didn't know a lot about a lot of these things.  I didn't know about a lot of these things.  And so as a result of these serendipitous interactions, she was able to make that session  much better.  The group recognized, yet we are all trying to solve similar problems and we should, we  need to try and do this in a more coordinated way.  And so this is going to be a birds of a feather that's going to turn into an interest group  and the interest group.  In fact, there's already, or the proto-interest group, we're already starting to think about  are there particular tasks that we could spin off as working group activities, which is,  in my view, precisely the way the RDA processes need to work.  The other thing that I wanted to highlight was a whole session on building a disciplinary  work like data infrastructure.  This was on the International Data Forum Day.  And so this was essentially a whole lot of groups reporting on how do we do infrastructure  in our discipline and what are the science, in quotes, drivers for it and what are the  lessons we've learned.  And this was very broad.  So you can see it's not just hard sciences, it's linguistics and digital humanities.  And as a quick way to get a sense of how different disciplines differ in, that's a very good  way of doing it.  I should also mention in this context the closing keynote for the International Data  Forum Day by Christine Bournemont, who spoke about some early research that her group has  been doing essentially on the same thing.  We're looking at disciplinary differences around data sharing.  And there are some huge differences around data sharing.  And I think it's valuable for us to not just assume that data sharing is the same for everybody.  And we need to recognise there's a lot of nuance there.  Stephanie?  Okay.  So I'll talk a little bit about two things that I liked.  One of which is because my background is in quantitative research, I've always been interested  in how to share and when to share personal sensitive research data.  And I particularly like to talk in one of the SciDataCon sessions on that by Neil Walker,  who talked about data anonymity and the fact that in many cases data anonymity actually  makes data access harder because it looks like it works but it doesn't really.  And he brought a couple of examples of how and why the anonymisation doesn't work.  So for example, he had one data set that he mentioned where someone looked at a specific  disease and aggregated the data by country.  Now in theory that would have been great but for example in France there was just one,  two persons who actually came out of that data set.  One was male, one was female.  So the identification really didn't work in that case.  And that's something that I've actually, I find quite interesting.  The second thing I like is more a process kind of thing after having had several days  of conference where someone stands at the front and talks and everyone in the back sits  and listens while it does their email.  What I found very refreshing was the interest group for archives and records professionals  in RDA which for the second time in a row that I'm aware of actually set up in their  breakout session, little breakout session.  So they made little breakout groups with specific topics and really brainstormed and worked  through the issues that they gave us to discuss.  And I found that a very refreshing and a very much more interactive way and I felt I was  contributing way more than in a discussion where you have 30 people in a room.  And one person says something and the other 29 are listening.  So I really enjoyed that and thought that was a very good way of doing this.  Now we have a list of people that have volunteered or have offered when asked to provide their  perspectives.  Okay, so Malcolm, I guess other than the opportunity to network, the one we're asked to think of  something in particular, one of the interest groups I've been involved with for about 18  months is the, calls itself the long tail of research data interest group.  We were going to have a meeting at Denver so we decided just to give it some focus,  a few of us tabled a document, 10 ways to support the long tail of research but it  quickly became apparent that we'd missed the target completely.  So the way the meeting, the interest group agenda was we tabled the document and then  had 10 two minute speakers to respond to the document.  And we had the likes of Christine Borgman, someone from Mendeley and Fig Share, we had  a rep from the European Open Science Cloud.  So a really wide variety of different senior representatives from different groups if you  like.  And as we worked, they went through and gave their two minute response.  Most didn't like what we've written.  Not that there was anything wrong with the content but missed the target.  The end result was that we should be, if we're targeting funders, we should be thinking about  the long tail of research data in terms of orphan data rather than our perspective which  is the long tail of research.  But I guess the key, the interesting bit I found about the whole exercise was nine  or 10 people from a wide variety of international organisations talking for two minutes can  come to a pretty quick conclusion about where we should be heading which is very hard to  do through an online interest group but also typically other conferences where you only  get one or two of those people speaking.  You don't actually get them in a room to contribute to a 90 minute discussion on where  to from here.  So I found that particularly valuable and I don't notice that in many other conferences  where you get a lot of broad spectrum from all sides, from institutions, from vendors,  from government representatives, from key people like Christine Borgman talking to  a particular topic in a practical sense.  Thank you very much, Malcolm.  That was very interesting.  Hamish, Holola, are you there?  Thank you.  I'm from Griffith University and the Queensland Cyber Infrastructure Foundation.  I was fortunate enough to attend Research Dera Alliance in Denver.  I actually kind of found it to be quite a good organisation, a good method to both network  but also to understand how a lot of the larger collaborative programmes, the sustainability,  sustainable sustainability goals, the group of Earth observations, our COData, our side  data and RDA actually work together to actually promote and formalise best practice and standards  and actually to get much greater awareness across this kind of landscape.  It was also quite a – I also attended a workshop called the – well, an interest group  called the Virtual Research Environment Science Gateways and Opportunities for Developing  a More Coordinated Approach to Support Interoperability Across Different Systems.  This is of particular interest as it provided an international perspective on things that  we classify here as virtual laboratories and how in Australia we've been doing and  what is the challenges and lessons learned in the international context.  Within that session there was – well, there was three speakers, four speakers may have  been included but there was a speaker from Purdue University who was leading the NanoHub  or Hub Zero initiative which has got about 1.4 million users at the moment and then there  was also a person, Demetrius, that was leading a virtual research environment in the UK.  There was really actually – what was quite interesting is that I think Australia is actually  quite organised actually in this approach within virtual laboratories and the infrastructure  approach but sustainability came up as a key issue and how do we actually grow these services  and there was similarities across those international contexts.  So there was the approach of expanding vertically quickly to provide that proof of concept and  also to show value was universally recognised.  You need to also always be justifying your existence and measuring your impact and measuring  impact is not just always about users but it's about what they do with that and that  could be research and government and also that a strong kind of method that when you're  approaching developing these environments is that really you're starting a small enterprise  as such.  It's not just a program or a platform.  You need to think about learning and you need to think about teaching and how you actually  integrate this within to curriculum and into research practice.  A particular note there from Hub Zero and Nanotech was that they see uptake in learning  for their research tools so in education first there's about nine month lab before that actually  comes into research despite having a research driven agenda.  That's just quickly from my own perspective the breadth of topics actually was quite bewildering.  Anything from social to biodiversity to health to digital humanities and everything in between  and it was a great networking event and a lot of people attended.  Thank you.  Okay, thanks so much Hamish.  Yes, it was a bit overwhelming I think for all of us but I mean nearly seven days of  this was quite overwhelming.  It is possible to have too much data.  Okay, thanks very much.  Next, Sarah, Mr. from ESL if you're there.  I am here and yeah, so I'm Sarah Disbett.  I'm from E Research USA in South Australia and just quite grateful to have power at  the moment.  So I recently became the project lead for the RDS 1.6 Cultures in Community project  so I attended the RDA plenary sort of in that context so I was particularly interested  to sort of find out what the interest groups around the digital practices in history and  ethnography and the archives and records professionals was sort of doing and what was  happening in those spaces and Stephanie I guess my experience was similar to yours and  perhaps my favourite thing was attending that archives and records meeting and just  the sort of interactive nature of it and being able to sort of participate actively rather  than sort of listening to the participant.  So I mean I sort of broke off into a working group around skills and training for sort  of digital skills and training for archived professionals and sort of able to share what  some of our plans were in the RDS project and some of the things that we want to achieve  in the next phase of the project and really enjoyed the opportunity to sort of like be  actively engaged.  I also, this is my first RDA plenary and sort of feel like quite a newcomer to this space  so I enjoyed the newcomer session and yeah I thought it was a very positive experience  I learned a lot and I think what I really wanted to achieve was to sort of improve my  understanding of the research data landscape and I think it did that.  I think moving forward I really want to see how the outcomes of the RDS project, how they  sort of pan out and how we can feed that back into the archival interest groups.  So yeah so thank you Ann for the opportunity.  Okay thanks so much Sarah.  Okay the next speaker would be Richard Lyons from the Victoria State Government Department  on and I'm sure I'll forget something.  It was jobs, transport, economy, resources and something else.  Richard if you're there I've got your slide here.  We're from the Department of Economic Development Jobs, Transport and Resources so well done  Stephanie it's a mouthful and we're part of the agricultural Victoria portfolio.  I just reiterate my hands for supporting us in attending the RDA.  I found the RDA and both Kieran and I found the RDA a very well organized, it was an exceptionally  well organized event.  It was also really heartening to see so many interest groups trying to grapple with some  of the problems that we've been noticing in our closets if you like in our work practice  in place and so the sort of pragmatic practical approach of conversations on a global scale  was really something that was outstanding and so the thing that stood out to me was  for my own particular point of view is that I attended a number of the sessions including  the archives one and I too found that really useful and across the sort of five or six  areas that I focused on we began to be able to build a map of all of the various elements  that we're having to grapple with in our work in relation to data management and so I've  mapped that out there just through as a probably couple of hours just of thinking and discussing  this with a few people and it is the case that our department actually touches almost  all of those areas so we've got one of the most complex working dynamics that I've ever  experienced in my working life and so we touched just about all of those elements in the matrix  and so it was and then we also observed the various activities around the enabling features  data management plans interoperability strategies and so on so to be able to put that all together  in a bit of a landscape was the most useful thing to me and we hope to work with a number  of our stakeholders to actually create some web resources to link all of these to provide  some and link to our DA activities in all of those areas over the next six or so months  and we also took into the meetings a very strong interest in archival and records management  because of a particular tool that we've invested in the department and we were exceptionally  pleased to notice that that tool seems to be well conceived and for what many of the  people are grappling with so we are very pleased to have that sort of feedback so I will stop  there I think and just thank you once again to Anne's.  Thanks so much Richard.  Kieran Murphy also from the department, did you want to add something?  Yes, definitely.  Andrew thanks again and just to echo Richard's thanks to Anne's for the support to head over  to the conference it was certainly I'd want to say it's the best event I'd been to in  my professional time here at the department in ten years maybe selfishly because it's  very much right then the problems that Richard said we've been grappling with and I was a  little bit concerned before we left you know with some of the world we're in and going  there with the quality of the speakers and presentations there that could have been a  little bit over my head but it was right down the alley and we've got so much from  it so thanks very much to Anne's for the support.  I just a really practical example you know obviously the newcomers for RDA session was  really available to go there and I think Stephanie and I said there was there might have been  60 people at that session, 60-80 so it looks that the RDA model is growing there's a lot  of new people there so basically being a newcomer and then participating in the events during  the week and all the breakouts obviously really excited to go along to things such as the  you know an emerging interest group in agile data curation which is a really data curation  is a high priority capability area that we're focusing on in our area and I know we're called  the big long name but we also were a branch or a division called Agriculture Victoria  so whilst we're representing the interest in the agriculture sector but obviously the  lessons we've learned there will be spread further across the department so just probably  I've got a lot of notes I've actually only just landed back in the office today I took  a few days off since when I got back from the US because Richard and I extended our  visit to University of Illinois and post Denver so that was really valuable because the lessons  the learnings from Denver got supported and I guess furthered in what we worked out in  the university and the context there so I'll have some time together and my thoughts and  put together our report and we're happy to share that with everyone but as Richard said  it really does align to the problems we've been grappling with the product that we've  the tool that we've developed in the last few years which was very well received over  there and we hope we can contribute that to the Australian landscape in whatever shape  or form and I'm sure we'll be doing that through ands but practical take home is around that  the working groups and interest groups in agile data curation as an emerging interest  group which I've joined and then the working groups that reported on that are obviously  really relieved to see some artwork that the commons and the fear principles have created  so might go on too much longer Stephanie thanks for the give me as a chance to catch up.  Thanks June and maybe we can talk about say if you want to present your report as a blog  post or something like that we can help again.  Okay and Anita, how are you there?  Yes, hi everyone, I again am getting feedback, I think it's better now, no it's improved.  Yes, so thanks again to An's for contribution towards going to the sessions, in fact if  it wasn't there I'm from Tern Ecoinformatics at the University of Adelaide and mainly work  on the ECOS portal and also the shared data submission tool and we're basically on subsistence  money so it was really important to visit and for me I guess in terms of what we do  here I'm in the data sort of publishing realm and I guess my role is trying to merge or  bring together publishing policies in a way that really reflect long established science  practice and I've been reading a lot about the co-data recommendations and papers and  that and also the RDA recommendations so it was absolutely fabulous to actually get there  and see how these two groups work together collegially to sort of guide us in the international  sphere in this area so that was really important to participate in that.  I was kind of like a kid in a candy shop, there were so many things that I could have  come to of interest but the one that really stood out for me and it was mentioned in  Simon Cox's talk in the plenary but also it was mentioned in quite a few other sessions  and this is the notion of trustworthiness of the data that is published openly in repositories  and things like that and how the recommendations that are coming through in terms of principles  and guidelines through the various working groups may well give some kind of basis for  working out or identifying the levels of trustworthiness in terms of our infrastructure so that had  huge implications for the kind of systems, the infrastructure that Tern has and it really  overflowed in a whole range of areas, it came through in terms of ontologies and generalities  you could have in ontologies in terms of control vocabs, it came through and it also came  through in this whole notion of reproducibility and the different like I hadn't realized there  were three levels of reproducibility or three types of reproducibility so that was absolutely  fascinating.  Going forward I guess from a Tern perspective it would be really great to use some of our  infrastructure as case studies for the next lot of working group activities particularly  in the publishing data services and in that space we'd really like to be involved in that  and it's good to feel that you're not alone in thinking about these things, it was really  great thank you.  And also it's the location, the organization, it was just brilliant, it was a really well  run, well run sort of week, thanks to everyone.  Thanks very much Anita and yes thanks again to all our contributors for their insights  so we do have a bit of time for questions at this point.  We thought we should provide you with some information where you can go and look further  and so there was quite an active conference in terms of tweeting under a number of different  hashtags, hash IDW 2016 and hash IDA plenary for the plenary event.  For those of you that are looking at the hash IDW 2016 hashtag now and wondering why there  are so many tweets about deafness it's because after we ran our event there was international  deafness week for 2016 and we got a hashtag collision.  The archive that's listed on the screen there, please don't try and memorize that, it will  be in the slides which will be available after the session on the end of the page but that  just captured the tweets for these events.  The programs themselves are online with links to the presentations so if you go down the  slides you can, there's also videos for much of the material not however the breakout sessions  for the actual research data reliance plenary only for the sessions that were happening in  the main room.  Much of the work of RDA as you've heard already happens in working groups and interest groups  and these were in 8 parallel tracks or something like that and so there isn't video from those  but there's certainly video from the main space.  Most of the groups that help the breakout sessions have material either being from the program  or from their group pages.  And finally there's some blog posts that are being aggregated together.  They currently sit on the codeator at the moment or the codeator at all website but  there's blog posts for a whole range of people including RDA people that's simply been used  as a point to pull them together.  So lots of additional information for people to go and look at if they want.  So having said that, Suzanna, alright thank you, yes, Stephanie has reminded me that too  much RDA is barely enough to quote Roy and HG and if you would like more information  on RDA, Stephanie and I are running two bots at a research.  One is essentially on why you might want to use the research data reliance to solve particular  data problems.  So you've heard already today for a number of people about how they got the venue out  of the RDA experience and process in realising other people are tackling the same problems.  We're running a bot that will help you understand how you can get more involved in RDA in terms  of building solutions and then the second bot is focused on how you might adopt some  of those outputs that we talked about at the start of this webinar.  So if you're interested in either of those they'll be on at the research conference  if you're coming to that.  And bearing in mind that RDA has produced quite a few more outputs than the ones that  were presented at this particular plenary because the plenary output sessions only talk  about outputs that are either presented for the first or sort of that are where working  groups finish and present their outputs at this plenary or where they are going to be  finishing in the next six months and will be presenting their final outputs at the next  plenary.  So there's a sliding window.  Yes, so on the RDA website there is a page under outputs and recommendations called  all outputs and recommendations I think and then you'll find a list of probably over a  dozen at this point.  Okay, so Suzanna has anyone typed any questions in chat?  Actually no.  Okay, well, so if no one has any questions, this is your last chance.  Oh no, actually no one's coming.  Here we go.  What do you think of the priorities for ANZ and the follow up?  The follow up to International Data Week.  I guess the priority, well, I don't know if I can speak for ANZ as a whole.  I can certainly speak personally and I should explain that Stephanie and I, we work for  ANZ but in a sense we work for RDA as well.  Stephanie, they literally works for RDA as their director of operations three days a  week and I work in air quotes for RDA as co-chair of the technical advisory board and so I suppose,  well, do you want to give your answer first then I'll give my answer?  You can answer.  Okay, so my answer would be really very much in line with the slide that's on the screen  at the moment.  I would like to see more Australians using the RDA processes to solve data problems,  so more involvement in working groups and interest groups.  The fact that more people from Australia were coming to this event was great.  The positive stories that we've heard today was also great.  I'd like to see more Australians involved in using RDA and not just in running it.  And then the second thing I guess I'd like to see from an ANZ perspective is more adoption  of the outputs.  So if you may have heard of RISP Francis in the past talk about how Australia should  be not trying to reinvent the wheel all the time in the research infrastructure, we should  be adopting what's happening overseas.  RDA is a great place to go to look for things that you can adopt.  The other citation Stephanie mentioned is just one example of that.  So more people involved in solving problems through RDA and more people involved in picking  up outputs would be our answer.  Yes, so more people in Australia getting benefits out of the research data lines is  I guess how we could summarize that.  And part of why we are doing those first and final sessions at U-Research is because not  everybody knows a lot about the research data lines.  We just want to make sure that more people have a chance of hearing about it and hearing  what it can do for you really and how you can help it as well.  So it can be a win-win situation.  As the RDA Director of Operations, I have a strongly internal role.  So at the moment I'm actually trying to make sure that some of the processes within the  research data lines work more smoothly.  So that is my priority following up from international data week, which has nothing to do really  with the outward reaching phase of RDA, but more with making sure that people actually  can use the research data lines and can get benefit from it by making sure the organisation  works with it.  So just wondering, if not the other website collaboration, OSF.  I joined with OSF.  I understand the question correctly.  OSF.io is a hosted platform for research collaboration.  You can think of it as being a little bit like a light form of a virtual laboratory, although  it's mostly focused on managing data rather than on integration with tools.  You could use it for some of the kind of collaborative activity that the RDA also supports, but the  intention of the research data reliance website is basically to do two things.  The first is to provide information about what RDA is and how it's structured and what  it does and its outputs as Stephanie has already identified.  But there's a second, if you like, once you log in as a registered RDA member and anyone  can become an RDA member for free.  Once you log in and join particular groups, each of those groups have their own space  with mailing lists and wikis and file repositories that they can use to manage their own processes  and outputs.  One of the reasons that some people decide to use the RDA system is simply because it  gives them all of that collaboration infrastructure for free.  So I hope I answered what I think the question was.  Maybe just to add one thing.  As Andrew said, the RDA website of course also has the purpose of showing information  on the RDA, but we also have requests for comments, open anomalies.  So that means on the RDA website you can find documents that are currently under what we  call community review and where we actively ask the community to provide comments.  And for that purpose the RDA website is a central point to do so.  I just want to make a comment about something that Andrew said.  I think one of the priorities for other institutions in Australia is to participate more in the  review of the outputs before they become outputs.  So they're published on the RDA website.  So I guess what we're looking for is feedback on whether, well how practical their recommendations  are and whether they can be adopted within your institution.  So even if it's a good comment or a negative comment, constructive criticism, it would  be useful because no comment doesn't give you a good direction whether it's a good recommendation  or not, so the more feedback about the outputs that are up for community review the better.  So I'd like to see more Australians involved with that process.  Now that's a great point Malcolm.  I was taking a slightly parochial tan focus on things rather than thinking broadly, more  broadly.  And I should emphasise the incredibly valuable role that the organisational assembly members  play in RDA because they're the people who are working in organisations that are going  to be adopting the outputs.  So their role in the RDA process is extremely important.  Any other questions, Susanna?  Okay, there's another one.  It says, is there a particular page for these draft outputs?  Is there a particular place for the draft outputs?  Is that the question?  Yes, is there a particular page for these draft outputs?  Okay, yes.  Is it the outputs page?  Yes.  So on the one hand there's the outputs page which is under outputs and recommendations,  all outputs and recommendations.  That's a list of outputs.  The first set is endorsed outputs which means they're the ones that have already gone through  the review process.  Then we have recommendations currently being endorsed or something like that.  Hang on, let's just have a look.  What's it actually called?  Recommendations for draft endorsement in process.  And they're the ones that we actually really like those comments on.  And we do highlight some of these in the request for comments box.  Once the recommendations have been formally submitted to RDA for consideration, they end  up in the request for comments box.  And that's when we really, really, really want community comments.  And also comments from the organisation members that are presented by the organisation assembly.  What we're trying to determine is whether these outputs are actually useful to anyone,  to real people, not just in theory.  A fit for purpose.  Yes, a fit for purpose and also yet adoptable with reasonable amount of effort.  So if you go to rd-alliance.org, right up at the top of the screen there's the words,  recommendations and outputs and that will let you get to them.  Okay, there's one more question which says, what has been discussed in Denver about the  facilities for developing countries?  So I can point to a couple of things.  One was as I mentioned the RDA summer schools has got a particular focus on improving the  standard of education in data issues for researchers from developing countries.  There was a keynote from one of the RDA council members, K. Raza Roka from Botswana, talking  not just about issues relating to Botswana but about data issues ranging across the whole  of the African continent.  And the other thing I'd point out is that although RDA is currently, the RDA membership  is drawn primarily from Western Europe and the United States consciously working to expand  that out and so we have an increasing number of members from South America and in fact  at this election, the current technical advisory board election which is closing real soon  now, one of the candidates is from India.  So we are starting to broaden out the geographical base for RDA which from my point of view is  extremely welcome.  And one of the adoption stories that was presented at the RDA plenary was the one about rice.  They were working with people in the Philippines.  Yeah, the International Rice Research Institute.  Yes.  And the leader of the interest group on agricultural data is from Brazil, Argentina.  So the agricultural cluster of interest working groups actually has a better, it involves  geographical spread.  Yes.  So they become Adali who's from India.  She's one of the top candidates.  She's also heavily involved in the agricultural interest group for example.  So that, I mean it's sort of natural that there's more of an involvement from South America  and Asia.  Not so much Africa I don't think.  No, that's the need to comment.  Okay, we have another question which says, Co-data RDA Research Data Science Summer School.  Will it happen in Australia?  If not, why?  I have no idea.  Can I answer that one?  Oh sure.  So this was something we've been talking with Simon from Co-data and Simon Hodson and Q-SIF.  And just trying to get ahead around what's the difference between what Co-data offers  as a summer school and what we offer already in Australia and things like software, carpentry.  I think we're looking at all the carpentry and some of the sub-components.  The thing about the Co-data, especially the one in Trieste, it's a three week summer school  and they did target a lot of, a lot of the participants were funded from various sources  from developing countries.  So I guess our last conversation around this topic with Q-SIF is, will people really turn  up for a three week conference in Brisbane or Melbourne or is it better offered in shorter  modules and if they're in shorter modules where we already run software carpentry, so  what are the missing elements?  So definitely like the curriculum's open, there's some parts of the curriculum they  offer that we have big gaps in, especially around visualisation and probably some of  the HPC machine learning stuff.  But I suspect there's courses around Australia online that are already meeting that need  as well, so probably to reiterate an earlier problem why we wouldn't want to reinvent the  wheel if there is some good programmes already available.  So it's a matter of I guess trying to decide do we want a summer school or get more managed  or focused or get a coherent group of courses together under a banner, if that makes sense.  Definitely the codata stuff, sorry I was going to say the codata open curriculum especially  if you can find the one at Trieste is quite interesting to have a look at.  I'll put the link where the material has been deposited into the slides as well.  And I will also, I should also make the point that the developers of the curriculum for  the RDA summer school were talking closely with David Flanders about the links with the  RESBAS curriculum and I believe there's significant overlap between the RESBAS curriculum and  the summer school curriculum.  So in a sense much of the material that was covered has already been offered in Australia  through the RESBAS vehicle.  Okay we're over time so I think we might wrap it up there.  Thank you all for attending, thanks in particular to the Australian attendees who provided their  perspective on the event.  The slides including those links will be available on the events page real soon now.  And thanks for coming in, enjoy the rest of your day.
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