ARDC FAIR Data 101 self-guided

FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles

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.

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.

DOI: 10.5281/zenodo.5094034

Licence: Creative Commons Attribution 4.0

Contact: contact@ardc.edu.au

Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management


Additional information

Status: Active

Authors: Stokes, Liz (orcid: 0000-0002-2973-5647), Liffers, Matthias (orcid: 0000-0002-3639-2080), Burton, Nichola (orcid: 0000-0003-4470-4846), Martinez, Paula A. (orcid: 0000-0002-8990-1985), Simons, Natasha (orcid: 0000-0003-0635-1998), Russell, Keith (orcid: 0000-0001-5390-2719), McCafferty, Siobhann (orcid: 0000-0002-2491-0995), Ferrers, Richard (orcid: 0000-0002-2923-9889), McEachern, Steve (orcid: 0000-0001-7848-4912), Barlow, Melanie (orcid: 0000-0002-3956-5784), Brady, Catherine (orcid: 0000-0002-7919-7592), Brownlee, Rowan (orcid: 0000-0002-1955-1262), Honeyman, Tom (orcid: 0000-0001-9448-4023), Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)

ARDC FAIR Data 101 self-guided https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097 FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles 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. 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. contact@ardc.edu.au training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management