How to FAIR: a website to guide researchers on making research data more FAIR

Authors: Deutz, Daniella Bayle; Buss, Mareike C. H.; Hansen, Jitka Stilund; Hansen, Karsten Kryger; Kjelmann, Kristian G.; Larsen, Asger Væring; Vlachos, Evgenios; +1 Authors

doi: 10.5281/zenodo.3712064 , 10.5281/zenodo.3712065

How to FAIR: a website to guide researchers on making research data more FAIR

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Abstract

To aid other research supporters and research data managers, we have copied over the entire content of our e-Learning website: https://www.howtoFAIR.dk to this record. Transcripts of all videos, and the text on each page and sub-page are available here in the DOCX file for use in your own teaching materials. A copy of all images on the website, as well as alternate versions and file formats, are available in the ZIP file. Best of luck, and keep it FAIR.

This website is brought to you by the Danish National Forum for Research Data Management, with support from Denmark's Electronic Research Library (DEFF) and the Danish e-Infrastructure Cooperation (DeiC).

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Keywords

data manager, RDM, research data management, data management, how to FAIR, FAIR

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average