6346589
doi
10.5281/zenodo.6346589
oai:zenodo.org:6346589
user-acme-fair
user-eu
user-fairsfair
Angus Whyte
Digital Curation Centre
Marjan Grootveld
DANS
Lennart Stoy
EUA
Bregt Saenen
EUA
Professionalising Roles through Training, Mentoring, and Recognition: ACME-FAIR Issue#3
Laura Molloy
CODATA
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
FAIR principles
capacity building
capability maturity
research data management
FAIR implementation
<p>Making and keeping data FAIR requires extensive and complex technical infrastructure, but it also requires systematic and sustained improvements in the human practices of managing research data. These improvements can be brought about through training, mentoring and recognition measures, which naturally also have implications for policymaking at the supra-national, sectoral, national, institutional, departmental and project levels.</p>
<p>ACME-FAIR is a 7-part guide developed in the FAIRsFAIR project, whose main purpose is to help managers of Research Data Management and related professional services to self-assess how they are enabling researchers, and the professional staff who support them, to put the FAIR data principles into practice (for short we refer to this as ‘FAIR-enabling practice’). This part addresses the key issue of <strong>Professionalising Roles through Training, Mentoring, and Recognition. </strong></p>
Zenodo
2022-03-11
info:eu-repo/semantics/report
5728375
user-acme-fair
user-eu
user-fairsfair
2
award_title=Fostering FAIR Data Practices in Europe; award_number=831558; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/831558; funder_id=00k4n6c32; funder_name=European Commission;
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md5:6b41d526bae5d4851892277c382a5562
https://zenodo.org/records/6346589/files/ACME-FAIR_ Skills_Issue_Public_v2.pdf
public
10.5281/zenodo.5728375
isVersionOf
doi