TY - JOUR
T1 - Ten simple rules for making training materials FAIR
AU - Garcia, Leyla
AU - Batut, Berenice
AU - Burke, Melissa L.
AU - Kuzak, Mateusz
AU - Psomopoulos, Fotis
AU - Arcila, Ricardo
AU - Attwood, Teresa K.
AU - Beard, Niall
AU - Carvalho-Silva, Denise
AU - Dimopoulos, Alexandros C.
AU - del Angel, Victoria Dominguez
AU - Dumontier, Michel
AU - Gurwitz, Kim T.
AU - Krause, Roland
AU - McQuilton, Peter
AU - Le Pera, Loredana
AU - Morgan, Sarah L.
AU - Rauste, Paivi
AU - Via, Allegra
AU - Kahlem, Pascal
AU - Rustici, Gabriella
AU - van Gelder, Celia W. G.
AU - Palagi, Patricia M.
N1 - Publisher Copyright:
Copyright © 2020 Garcia et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/5
Y1 - 2020/5
N2 - Author summaryEverything 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.
AB - Author summaryEverything 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.
U2 - 10.1371/journal.pcbi.1007854
DO - 10.1371/journal.pcbi.1007854
M3 - Editorial
C2 - 32437350
SN - 1553-734X
VL - 16
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 5
M1 - 1007854
ER -