Article (Scientific journals)
Ten simple rules for making training materials FAIR.
Garcia, Leyla; Batut, Bérénice; Burke, Melissa L. et al.
2020In PLoS Computational Biology, 16 (5), p. 1007854
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Keywords :
Biology/education; Computational Biology; Computer-Assisted Instruction/standards; Guidelines as Topic; Humans; Information Storage and Retrieval
Abstract :
[en] 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.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Garcia, Leyla
Batut, Bérénice
Burke, Melissa L.
Kuzak, Mateusz
Psomopoulos, Fotis
Arcila, Ricardo
Attwood, Teresa K.
Beard, Niall
Carvalho-Silva, Denise
Dimopoulos, Alexandros C.
Del Angel, Victoria Dominguez
Dumontier, Michel
Gurwitz, Kim T.
Krause, Roland  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core
McQuilton, Peter
Le Pera, Loredana
Morgan, Sarah L.
Rauste, Päivi
Via, Allegra
Kahlem, Pascal
Rustici, Gabriella
van Gelder, Celia W. G.
Palagi, Patricia M.
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Title :
Ten simple rules for making training materials FAIR.
Publication date :
Journal title :
PLoS Computational Biology
Publisher :
Public Library of Science, United States - California
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Peer reviewed :
Peer Reviewed verified by ORBi
Focus Area :
Computational Sciences
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