<commit_before>---
layout: page
title: Secondary data sources
subtitle: Haec omnia in datis sunt
permalink: /secondary_data_sources
type: info
header_text: Data for secondary analysis.
---

# Contents
{:.no_toc}

* Will be replaced with the ToC, excluding the "Contents" header
{:toc}

Perhaps inspired by COVID-19 - I decided to list some resources for (student) projects relying on secondary data analysis. 

Hopefully, these are of use, please [contact me](mailto:thomas.pollet) if there are sources which I can add. This is very much work in progress, so do bear with me while this is further developed.

# Secondary data sources.

![Image data](https://media.giphy.com/media/zEU2uwmialC4U/giphy.gif) {: .center-image }

Note that for some, there will be restrictions. If you  are a student, you might need a letter from supervisor or analysis plan, before being able to access some of these data. Make sure that you read the terms of use and cite the data source. Many of these will also have technical manuals and codebooks, do familiarise yourself with those! It is important to consider how you will be handling weighing of samples, missing data, non-response and comparability across datasets.

These are in a semi-random order, with no real preference, let alone logic.

## General Social Sciences
<commit_msg>fix data image<commit_after>---
layout: page
title: Secondary data sources
subtitle: Haec omnia in datis sunt
permalink: /secondary_data_sources
type: info
header_text: Data for secondary analysis.
---

# Contents
{:.no_toc}

* Will be replaced with the ToC, excluding the "Contents" header
{:toc}

Perhaps inspired by COVID-19 - I decided to list some resources for (student) projects relying on secondary data analysis. 

Hopefully, these are of use, please [contact me](mailto:thomas.pollet) if there are sources which I can add. This is very much work in progress, so do bear with me while this is further developed.

# Secondary data sources.

![Image data](https://media.giphy.com/media/zEU2uwmialC4U/giphy.gif){: .center-image }

Note that for some, there will be restrictions. If you  are a student, you might need a letter from supervisor or analysis plan, before being able to access some of these data. Make sure that you read the terms of use and cite the data source. Many of these will also have technical manuals and codebooks, do familiarise yourself with those! It is important to consider how you will be handling weighing of samples, missing data, non-response and comparability across datasets.

These are in a semi-random order, with no real preference, let alone logic.

## General Social Sciences

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