Ten simple rules for making training materials FAIR.
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 need...
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2020-05-01
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Online Access: | https://doi.org/10.1371/journal.pcbi.1007854 |
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doaj-076c5999d13d41318e459708c1a9096b2021-04-21T15:16:16ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582020-05-01165e100785410.1371/journal.pcbi.1007854Ten simple rules for making training materials FAIR.Leyla GarciaBérénice BatutMelissa L BurkeMateusz KuzakFotis PsomopoulosRicardo ArcilaTeresa K AttwoodNiall BeardDenise Carvalho-SilvaAlexandros C DimopoulosVictoria Dominguez Del AngelMichel DumontierKim T GurwitzRoland KrausePeter McQuiltonLoredana Le PeraSarah L MorganPäivi RausteAllegra ViaPascal KahlemGabriella RusticiCelia W G van GelderPatricia M PalagiEverything 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.https://doi.org/10.1371/journal.pcbi.1007854 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
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 Patricia M Palagi |
spellingShingle |
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 Patricia M Palagi Ten simple rules for making training materials FAIR. PLoS Computational Biology |
author_facet |
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 Patricia M Palagi |
author_sort |
Leyla Garcia |
title |
Ten simple rules for making training materials FAIR. |
title_short |
Ten simple rules for making training materials FAIR. |
title_full |
Ten simple rules for making training materials FAIR. |
title_fullStr |
Ten simple rules for making training materials FAIR. |
title_full_unstemmed |
Ten simple rules for making training materials FAIR. |
title_sort |
ten simple rules for making training materials fair. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Computational Biology |
issn |
1553-734X 1553-7358 |
publishDate |
2020-05-01 |
description |
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. |
url |
https://doi.org/10.1371/journal.pcbi.1007854 |
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