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

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.

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FAIR Data

Sharing your data accelerates your research impact.

Exploreabout FAIR Data

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FAIR Data Self Assessment Tool

Use our FAIR data self assessment tool to assess how FAIR your research dataset is…

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FAIR Data Training Resources

Free online FAIR data resources and courses.

Exploreabout FAIR Data Training Resources

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Research Software Rights Management Guide

This ARDC guide shares important information on how researchers can license their research software so…

Exploreabout Research Software Rights Management Guide

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