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WUR FAIR data cheatsheet

Wizenberg, Sydney; Verhagen, Irene; Albers, Joost; Sancho Vargas, Ignacio; Bokhorst, Koen; Ni Fhlaithearta, Shauna

Abstract

This cheatsheet provides a short (non-comprehensive) list of steps to help researchers at WUR make their data FAIR. This resource was insprired by the Utrecht University FAIR cheatsheets.

Full text

Maximise the value and impact of your research data by making it Findable, Accessible, Interoperable, and Reusable. Findable? •Publish your data –use a searchable repository that provides a persistent identifier, e.g. a DOI. You can select one via the WUR Repository Finder. •Enrich your data with metadata –use the standard of the repository and provide detailed information about the project and samples so the data is findable in search queries. •Register your data in Pure –Pure is the research information system behind Research@WUR. Send an email to [email protected] with the DOI for the data and the accompanying article. Accessible? •Determine if your data can be shared - use the WUR research data sharing guidelines to determine what level of access is appropriate for your data. •For non-sensitive data, make it open access – publish data openly in an easy-to-access repository that supports efficient and quick data retrieval. •For sensitive data, allow access requests –publish the metadata so your research is findable, and provide instructions for how to request access (when possible). Interoperable? •Publish files in open formats –provide files in preferred (open) formats that don't require specific software to access or analyse. •Use common terms –use standard formats, languages, and terms that are common within and across disciplines. •If needed, provide a codebook –when abbreviations or uncommon language is needed, define these terms in a codebook that accompanies your research data. This allows other researchers to decode information in your files. Reusable? •Release your research data and/or metadata with a licence –make the terms of re-use clear via a licence that indicates if (and how) data can be re-used. For restricted or closed access data, a custom licence published with your metadata can be used. •Include a README file – describe the origin and owner(s) of the data, and as much relevant information as possible through a README file. Try to include the who, what, where, when, why, and how, of your research to tell the story behind your data. FAIR data cheat sheet How can I make my research data…