The data lifecycle: preserving raw data

If you create data, or have data that needs to be preserved, what can you do? We start by discussing the distinction between sharing and preserving data, and then look at options that you can embed within your research workflow.

• Differences between sharing, publishing, and preserving
• Data preservation and publication
• FAIR data principles
• A tutorial on early preservation
• Options for preservation
  • Getting started in Zenodo
  • Dataverse at Harvard, Country specific dataverses: 🇨🇦, 🇳🇱

Further reading/viewing

• Increased transparency and reproducibility in economics video: