Reusable describes data that can be used again, beyond its original purpose. To be reusable, data not only needs to be described in a way to help others understand it, but also must be licensed with a licence that permits resuse. Furthermore, data must contain information about how it was created - provenance - so that others know whether the data can be trusted.

R1. (Meta)data are richly described with a plurality of accurate and relevant attributes

R1.1. (Meta)data are released with a clear and accessible data usage license

R1.2. (Meta)data are associated with detailed provenance

R1.3. (Meta)data meet domain-relevant community standards

Videos

Watch these videos for an introduction to the Reusable guiding principles.

FAIR Data 101 webinar 7

FAIR Data 101 webinar 8

FAIR Data 101 Reusable Q&A

Activities

Work through these activities to build your understanding of Reusable.

Discussion starters

Use these questions to start a conversation on our Slack workspace, or with your colleagues over a cup of beverage.

Topic questions

  • In the (meta)data that you currently collect, is there much provenance information? How would you go about enhancing the provenance information of the (meta)data that you currently collect?
  • Do you currently apply a licence to the training materials that you produce? Do you have a favourite? Meta-reflection…
  • How could the FAIR data 101 course be more FAIR? What would you recommend from what you know now?
  • Thinking across the content of these 4 modules, what would you like to work on in your organisation, explore further or put into practice? What first steps might you take?

Quiz

Answer the quiz to test your understanding of Reusable.