The webinar discussed the Accessible principle of FAIR data. Two speakers presented on how they make their data accessible: David Fitzgerald discussed how the Australian Longitudinal Study of Women's Health makes its sensitive longitudinal data accessible while protecting participants, and Jingbo Wang discussed how the National Cancer Institute makes its data accessible through online services. The webinar covered the FAIR guidelines for making data and metadata retrievable and accessible even after the data is no longer available, and discussed balancing open access with protecting sensitive data.

1. FAIR Webinar Series
6 September 2017
#2 FAIR Data Principles: A is Accessible

3. Today’s speakers
Keith Russell
ANDS
An introduction to the Accessible FAIR Data Principles
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

4. A is for Accessible
TO BE ACCESSIBLE:
A1 (meta)data are retrievable by their
identifier using a standardized communications
protocol.
A1.1 the protocol is open, free, and universally
implementable.
A1.2 the protocol allows for an authentication and
authorization procedure, where necessary.
A2 metadata are accessible, even when the data are
no longer available.

5. Accessible is not always Open
Sensitive data: identifying human beings
Protecting threatened species
Commercial interests

6. As Accessible as possible
Metadata only
Mediated access, clear how to obtain access
De-identified version of the data
Plan for this in consent forms

7. Accessible through data services
Other than download
Through community agreed
standards
Returns data for immediate
use by machines

8. Accessible in practice
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

9. Resources on Accessible
Med.data materials
Australian Data Access conditions
ANDS Sensitive data materials
Discovering data services
Data Services Interest Group
Thing 10: Sharing sensitive data
Thing 19: APIs and apps
www.ands.org.au/fair

10. Next week: Interoperable FAIR principles 13 Sept
Keith Russell
ANDS
An introduction to the Interoperable FAIR Data Principles
Simon Cox, David Lemon, Jonathan Yu
CSIRO
How they have made the research data in the OzNome project
interoperable, not only for humans but also for machines

11. 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.