Ten simple rules for making training materials FAIR.

Details

Serval ID
serval:BIB_AB51D5C92C0C
Type
Article: article from journal or magazin.
Publication sub-type
Editorial
Collection
Publications
Institution
Title
Ten simple rules for making training materials FAIR.
Journal
PLoS computational biology
Author(s)
Garcia L., Batut B., Burke M.L., Kuzak M., Psomopoulos F., Arcila R., Attwood T.K., Beard N., Carvalho-Silva D., Dimopoulos A.C., Del Angel V.D., Dumontier M., Gurwitz K.T., Krause R., McQuilton P., Le Pera L., Morgan S.L., Rauste P., Via A., Kahlem P., Rustici G., van Gelder CWG, Palagi P.M.
ISSN
1553-7358 (Electronic)
ISSN-L
1553-734X
Publication state
Published
Issued date
05/2020
Peer-reviewed
Oui
Volume
16
Number
5
Pages
e1007854
Language
english
Notes
Publication types: Editorial
Publication Status: epublish
Abstract
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.
Keywords
Biology/education, Computational Biology, Computer-Assisted Instruction/standards, Guidelines as Topic, Humans, Information Storage and Retrieval
Pubmed
Web of science
Open Access
Yes
Create date
10/09/2020 12:12
Last modification date
12/03/2024 8:09
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