Stokes, Liz
Liffers, Matthias
Burton, Nichola
Martinez, Paula A.
Simons, Natasha
Russell, Keith
McCafferty, Siobhann
Ferrers, Richard
McEachern, Steve
Barlow, Melanie
Brady, Catherine
Brownlee, Rowan
Honeyman, Tom
Quiroga, Maria del Mar
2021-07-13
<p>FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles</p>
<p>The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.</p>
<p>The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.</p>
This version adds instructor guidelines and extra resources.
The ARDC is a transformational initiative that enables Australian research community and industry access to nationally significant, leading edge data intensive eInfrastructure, platforms, skills and collections of high-quality data. The purpose of the ARDC is to provide Australian researchers with competitive advantage through data, providing access to leading edge eResearch collections, tools, infrastructure and services. Its mission is to accelerate research and innovation by driving excellence in the creation, analysis and retention of high-quality data assets.
https://doi.org/10.5281/zenodo.5094034
oai:zenodo.org:5094034
eng
Zenodo
https://github.com/au-research/FAIR-data-101-training/tree/v3.0
https://zenodo.org/communities/ardc
https://doi.org/10.5281/zenodo.4414979
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
training material
FAIR data
video
webinar
activities
quiz
FAIR
research data management
ARDC FAIR Data 101 self-guided
info:eu-repo/semantics/lecture