FAIR Webinar series : #1 Findable #2 Accessible #3 Interoperable #4 Reusable (recorded ANDS webinars)

The FAIR data principles (Findable, Interoperable, Accessible, Reusable) were drafted by the FORCE11 group in 2015. 

The principles have since received worldwide recognition as a useful framework for thinking about sharing data in a way that will enable maximum use and reuse. The common application of FAIR principles result in great benefits for research, industry, society and our environment.

Find out more about the FAIR data principles which bring together licensing, provenance and domain-relevant standards, resources to support institutional awareness and uptake of reusable FAIR data. 

This ANDS Webinar Series is a great opportunity to explore each of the four FAIR principles in depth - through practical case studies from a range of disciplines, Australian and international perspectives, and resources to support the uptake of FAIR principles.

This series is of interest to those who work with creating, managing, connecting and publishing research data at institutions:

  • researchers and research teams who need to ensure their data is reusable and publishable
  • data managers and researchers
  • Librarians, data managers and repository managers
  • IT who need to connect Institutional research data, HR and other IT systems

You can start getting more of these Webinars right now:

#1 Findable

This webinar covered:

  • an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not)
  • the four findable principles which underpin the discoverability of data
  • resources to support institutional awareness and uptake of findable principles to make your institutional data globally discoverable.

Watch the full recording (YouTube 35:40)


1. Keith Russell, ANDS, introduced FAIR

2. Nick Thieberger, Director of Paradisec, presented how Paradisec has made their data findable via rich metadata, identifiers through Research Data Australia and disciplinary discovery portals.

#2 Accessible

This webinar covered:

  • an overview of the accessible principles which underpin access and reuse of data
  • resources to support institutional awareness and uptake of accessible principles

Watch the full recording (YouTube)


1. Keith Russell, ANDS,  provided an overview of the key components of accessibility

2. David Fitzgerald, Data Manager for the Australian Longitudinal Study of Women’s Health (ALSWH) presented on how ALSWH makes a nationally significant longitudinal study with highly sensitive data accessible for others to reuse.

3. Jingbo Wang Data Collections Manager at NCI presented on how they make data accessible through services over the data so they can be interrogated and used by humans and machines.

#3 Interoperable

This webinar made an overview of the three Interoperable principles which use vocabularies for knowledge representation, standardisation and references other metadata resources to support institutional awareness and uptake of interoperable principles

Watch the full recording (YouTube 30.37)


1. Keith Russell, ANDS, provided an in-depth overview of the key components of interoperability

2. Simon Cox and Jonathan Yu, CSIRO, presented on how they have made the research data in the OzNome project  interoperable, not only for humans, but also for machines

#4 Reusable 

This webinar covered:

  • an overview of the four reusable principles which bring together licensing, provenance and domain-relevant standards
  • resources to support institutional awareness and uptake of reusable principles

Watch the full recording (YouTube 26.04)

Read the transcript


1. Keith Russell, ANDS provided an overview of the principles behind the FAIR concept of how to make data reusable

2. Margie Smith, Geoscience Australia discussed why Provenance information is critical to data reuse and how GA have approached attaching provenance information to data

  • Slides
  • There is no recording for Margie

3. Nerida Quatermass, Creative Commons Australia @QUT, presented on licensing frameworks and choosing a licence to make the data more Re-usable

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