The document outlines a webinar about the FAIR data principles, which focus on making data Findable, Accessible, Interoperable, and Reusable. It highlights the backgrounds of the speakers and provides insights into the FAIR principles' significance, their applications, and related initiatives from various countries. Upcoming discussions in the series will cover the accessibility of data, with different experts sharing their experiences.

1. ands.org.au/fair
Welcome
The webinar will commence at
12 noon AEST
While you are waiting - have a sneak peek at...
https://www.force11.org/fairprinciples
scroll down to the diagrams

2. FAIR Webinar Series
30 August 2017
#1 An introduction to FAIR
and F is Findable

4. Getting involved
Please use the
Questions
box to post the
questions and
comments
Attendees will be in
listen-only while the
speakers are talking
https://www.youtube.com/user/andsdata
Webinar will be
recorded and
broadcasted in
ANDS youtube
channel

5. 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

6. 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

7. Should all data be FAIR?
What about working data
or scratch data?
Commercial
National security
Privacy, ethical
considerations

8. What FAIR is not
• Not to be confused with fair use and fair
dealing
• Not the fair data mark
• FAIR is not a standard

9. Not just about the data
Requires underlying infrastructure
• Policies, procedures, guidelines
• Tools, platforms, software
• Skills

10. Why are the FAIR principles
useful?
• Internationally recognised
• Contain detail
• Discipline independent
• Not as hard as Open
• Hard to measure though

11. 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

12. 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.

13. Example of Findable in practice
Nick Thieberger
Director, Paradisec
Paradisec has made their data findable via rich metadata and identifiers

14. 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?
www.ands.org.au/fair

15. 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

16. keith.russell@ands.org.au
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.