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#1 FAIR: Into to FAIR and F for Findable

#1 FINDABLE covers: -- an overview of the FAIR principles: their origins, Australian FAIR initiatives, what FAIR is (and what it is not) -- the 4 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
1) Keith Russell, ANDS, will introduce FAIR
2) Nick Thieberger, Director of Paradisec, will present how Paradisec has made their data findable via rich metadata, identifiers through Research Data Australia and disciplinary discovery portals.

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#1 FAIR: Into to FAIR and F for Findable

  1. 1. Welcome The webinar will commence at 12 noon AEST While you are waiting - have a sneak peek at... scroll down to the diagrams
  2. 2. FAIR Webinar Series 30 August 2017 #1 An introduction to FAIR and F is Findable
  3. 3. Getting involved Please use the Questions box to post the questions and comments Attendees will be in listen-only while the speakers are talking Webinar will be recorded and broadcasted in ANDS youtube channel
  4. 4. Our speakers are.. Keith Russell ANDS An introduction to the FAIR Data Principles Nick Thieberger Director, Paradisec Paradisec has made their data findable via rich metadata and identifiers
  5. 5. What are the FAIR principles? • Drafted by Force11 in 2015 • Received international recognition • Human readable and machine readable • Technology agnostic • Discipline independent • Both the data and the metadata Findable, Accessible, Interoperable and Re-usable
  6. 6. Should all data be FAIR? What about working data or scratch data? Commercial National security Privacy, ethical considerations
  7. 7. What FAIR is not • Not to be confused with fair use and fair dealing • Not the fair data mark • FAIR is not a standard
  8. 8. Not just about the data Requires underlying infrastructure • Policies, procedures, guidelines • Tools, platforms, software • Skills
  9. 9. Why are the FAIR principles useful? • Internationally recognised • Contain detail • Discipline independent • Not as hard as Open • Hard to measure though
  10. 10. Flow on initiatives EU: HLEG European Open Science Cloud and the H2020 Guidelines for Data Management US: NIH data commons pilot NL: GO FAIR initiative and related work UK: Jisc FAIR in practice AGU: Open and FAIR data in Earth and Space Sciences AU: FAIR Access to research outputs policy statement
  11. 11. Findable To be Findable: F1. (meta)data are assigned a globally unique and eternally persistent identifier. F2. data are described with rich metadata. F3. (meta)data are registered or indexed in a searchable resource. F4. metadata specify the data identifier.
  12. 12. Example of Findable in practice Nick Thieberger Director, Paradisec Paradisec has made their data findable via rich metadata and identifiers
  13. 13. Resources on Findable DOI/Handle minting Metadata Standards Directories Research Data Australia Re3Data Thing 4: Data Discovery Thing 8: Citation metrics for data Thing 11: What's my metadata schema?
  14. 14. Next week: #2 Accessible FAIR principles 6 Sept Keith Russell ANDS Accessible David Fitzgerald Data Manager, Aust Longitudinal Study of Women’s Health How ALSWH makes a nationally significant longitudinal study with highly sensitive data accessible for others to reuse. Jingbo Wang Data Collections Manager, NCI How NCI makes data accessible through services over the data so they can be interrogated and used by humans and machines
  15. 15. Keith Russell With the exception of third party images or where otherwise indicated, this work is licensed under the Creative Commons 4.0 International Attribution Licence. ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program. Monash University leads the partnership with the Australian National University and CSIRO.