Making Data FAIR
Making data FAIR can accelerate your research impact. This is your guide to making data findable, accessible, interoperable and reusable.
Making Data Fair – Made Easy
You spend considerable time, money and effort collecting and interrogating data.
Making your data findable, accessible, interoperable and reusable (FAIR) maximises the impact of your investment, including gaining more citations for your datasets. That helps accelerate the impact of your work as more researchers find and reuse your data.
Explore our collection of best practices for making data fair.
FAIR Data Self Assessment Tool
Use our FAIR data self assessment tool to assess how FAIR your research dataset is…
Exploreabout FAIR Data Self Assessment Tool
FAIR Data Training Resources
Free online FAIR data resources and courses.
Exploreabout FAIR Data Training Resources
FAIR Data 101 Express Training Course Q and A Sessions
Deepen your FAIR data skills with this video series.
Exploreabout FAIR Data 101 Express Training Course Q and A Sessions
Putting the R into FAIR
Licence your data so it can be shared and cited.
Exploreabout Putting the R into FAIR
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