Ten simple rules for making training materials FAIR

Leyla Garcia, Bérénice Batut, Melissa L Burke, Mateusz Kuzak, Fotis Psomopoulos, Ricardo Arcila, Teresa K Attwood, Niall Beard, Denise Carvalho-Silva, Alexandros C Dimopoulos, Victoria Dominguez del Angel, Michel Dumontier, Kim T Gurwitz, Roland Krause, Peter McQuilton, Loredana Le Pera, Sarah L Morgan, Päivi Rauste, Allegra Via, Pascal Kahlem, Gabriella Rustici, Celia W G van Gelder and Patricia M Palagi

PLOS Computational Biology, 2020, vol. 16, issue 5, 1-9

Abstract: Author summary: Everything we do today is becoming more and more reliant on the use of computers. The field of biology is no exception; but most biologists receive little or no formal preparation for the increasingly computational aspects of their discipline. In consequence, informal training courses are often needed to plug the gaps; and the demand for such training is growing worldwide. To meet this demand, some training programs are being expanded, and new ones are being developed. Key to both scenarios is the creation of new course materials. Rather than starting from scratch, however, it’s sometimes possible to repurpose materials that already exist. Yet finding suitable materials online can be difficult: They’re often widely scattered across the internet or hidden in their home institutions, with no systematic way to find them. This is a common problem for all digital objects. The scientific community has attempted to address this issue by developing a set of rules (which have been called the Findable, Accessible, Interoperable and Reusable [FAIR] principles) to make such objects more findable and reusable. Here, we show how to apply these rules to help make training materials easier to find, (re)use, and adapt, for the benefit of all.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1007854

DOI: 10.1371/journal.pcbi.1007854

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