ARDC offers a free course for software and tools developers on the FAIR data principles and how they can design software and tools to support making data more FAIR (findable, accessible, interoperable, and reusable) more easily.
The FAIR data principles move beyond high level guidance, containing detailed advice on activities that can be undertaken to make data more FAIR; as well as placing specific emphasis on enhancing the ability of machines to automatically find and use data and supporting its reuse by people. The principles can be applied across all disciplines and the solutions are technology-agnostic.
The ARDC FAIR for Developers training package consists of two webinars and a half-day hands-on workshop that enables both research support staff and research software engineers to better understand the principles, and how they might be applied to make research data more reusable.
- The first webinar provides information on how the Findable and Accessible properties of data can be enhanced, by introducing concepts such as digital object identifiers, metadata standards and online discovery services.
- The second webinar enables attendees to better understand aspects such as Interoperability and Reusability through approaches such as shared vocabularies and ontologies, and data licensing.
- The webinars can be tailored to be of specific relevance to discipline(s) of choice.
- A follow up hands-on half-day workshop for project teams and/or research support teams, is available to work through particular datasets, software, or research processes to make them more FAIR. The workshop involves analysis of current approaches and assessment of these using the FAIR data self-assessment tool, with outcomes including a roadmap of activities that will result in FAIRer data.
The training was excellent. It made FAIR very approachable, and the format was good - Bio DeVL/RDC Project team.
To register your interest in this training, contact firstname.lastname@example.org.