Outputs are more than papers

Sharing your data and code lets others verify and build on your work — and you get credited when they reuse it. Deposit them in a repository that issues a DOI so they are citable.

Make them FAIR

Aim for FAIR — Findable, Accessible, Interoperable, Reusable: add clear documentation, an open licence, and enough detail for reuse. Never share confidential personal data openly.

Worked example — a citable dataset
You upload your anonymised dataset and analysis scripts to Figshare (or Zenodo) with a README and a CC BY licence. It receives a DOI, so others can cite it directly — and your data becomes a credited research output in its own right.

🔗 Learn more (free): Figshare — share data, code and other outputs (free)

Try it
Identify one dataset or script from your work you could share. What would you need to add (documentation, licence) to make it reusable?

Self-check

Why does depositing data with a DOI turn it into a credited research output?

© FRELIP, released under CC BY 4.0. Adapted in part from openly-licensed UNESCO (CC BY-SA 3.0 IGO) and institutional research-support materials. Linked resources remain under their own licences. Curated by the FRELIP Open Courseware editorial team.

Última modificación: jueves, 4 de junio de 2026, 12:51