<unk>  is an approach to informed<unk>  that enables on-going engagement and communication between individuals and the users and custodians of their data. It is designed to address the many issues that are raised by the use of digital technologies in research and clinical care that enable the wide-scale use, linkage, analysis and integration of diverse datasets and the use of AI and big data analyses. These issues include how to obtain informed<unk>  in a rapidly-changing environment; growing expectations that people should know how their data is being used; increased legal and regulatory requirements for the management of secondary use of data in biobanks and other medical research infrastructure.<unk>  is a personalised, digital interface that enables two-way communication between participants and researchers and is a practical example of how software can be developed to give research participants greater understanding and control over how their data is used. It also enables clinical trial managers, researchers and clinicians to know what type of<unk>  is attached to the use of data they hold and to have an easy way to seek a new<unk>  if the use of the data changes. It is able to support greater accountability and transparency, streamlining<unk>  processes to enable compliance with regulatory requirements.
Dynamic consent
Scientific consensus
Chain of survival
Theory of indispensable attributes
Personal narrative
Conflict procedure
Informed consent
Manning criteria