In this session you will learn about data archives or data repositories. The data archive is where the datasets are stored and you will find the actual data. In this session you'll learn about some of the major data archives/repositories:


* Zenodo
* Dryad
* Harvard Dataverse 


Transcript of video "Data archives/repositories"

Lessons learned
  • The data archive is where the individual datasets are located.
  • Introduction to three of the most commonly used data archives/repositories: Zenodo, Dryad and Dataverse.
  • How to choose a suitable data archive/repository that suits your purposes.

Food for thought
Is it better to choose a data archive/repository that is widely used, or one that specialises in your subject/field of research?
Naposledy změněno: úterý, 20. prosince 2022, 17.02