The document provides a 7-step guide to effective research data sharing: 1) Publish your dataset with a persistent identifier; 2) Be generous when describing your data with metadata; 3) Use machine-readable controlled vocabularies; 4) Link related resources with persistent identifiers; 5) Choose an appropriate license; 6) De-identify sensitive data if applicable; 7) Make data available in a format for long-term accessibility and choose a trustworthy research data repository. The guide emphasizes making data findable, accessible, interoperable and reusable (FAIR).

1. Simple Steps to Effective
Research Data Sharing
ResBaz Sydney 2011
tern.org.au
Dr Anusuriya Devaraju
Senior Data Innovation Manager, TERN Australia.
24th November 2021

2. We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand
and all nations. We honour their profound connections to land, water, biodiversity and culture
and pay our respects to their Elders past, present and emerging.
TERN is enabled by NCRIS.
Our work is a result of collaborative partnerships with many Universities and institutions.
To find out more please go to tern.org.au.

3. From Science to Operations
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4. Research
Data
Source: Springer Nature

5. Roche DG, Lanfear R, Binning SA, Haff TM, Schwanz LE, et al. (2014), CC BY 4.0
<https://creativecommons.org/licenses/by/4.0>, via Wikimedia Commons
Why Share Your Data
• Reproducibility and decision making
• Connectivity and collaboration
• Academic credit
• Publisher and funder expectations

6. Why FAIR Principles Matter

7. FAIR
Principles
Source: SciBite
The FAIR Data motto ‘as open as possible, as closed as necessary’.

8. Source: https://www.theedublogger.com/inspiration/

9. Publish your dataset with a persistent identifier.
Step 1
Source: 123-reg.co.uk
commitment to
keep the identifier
persistent

10. Be generous when describing your data.
Step 2
WHAT
•Title
•Abstract
•Keyword, Category
•Type
WHO
•Creator
•Contributor
•Point of Contact
WHEN
•Creation date
•Last modified
•Resolution
WHERE
•Spatial info.
•Ref. system
WHY
•Purpose
•Application
HOW
•Lineage
•Quality
•File format
•License
& use conditions
0.0000
0.5000
1.0000
1.5000
2.0000
2.5000
3.0000
3.5000
4.0000
4.5000
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Average
Score
Average Importance Score of Metadata Elements
https://doi.org/10.1145/3209219.3209250
Log analysis of user data search requests at PANGAEA.
https://rd-alliance.github.io/Research-Metadata-Schemas-WG/

11. Use machine-readable controlled vocabularies to describe your
metadata and data.
Step 3
There are several standards to control
geographic names, topics, variables
measured, units, languages, etc.
Choose the one that is community-
endorsed and well-managed, and best fits
your dataset.
https://vocabs.ardc.edu.au/

12. Link related resources with persistent identifiers.
Source: PID Graph,
https://dx.doi.org/10.1016%2Fj.patter.2020.100180
Step 4
People Physical specimen
Things (Antibodies, Model
Organisms, Cell Lines, Plasmids,
and other Tools)
Organisation
Publication

13. Choose appropriate license.
Step 5
https://creativecommons.org/choose/
Wherever possible use the least restrictive license to promote data reuse
https://tldrlegal.com/

14. De-identify sensitive data (if applicable).
Step 6
ANDS Guide to publishing and sharing sensitive data,
https://www.ands.org.au/working-with-data/sensitive-
data/sharing-sensitive-data
https://ukdataservice.ac.uk/learning-hub/research-data-
management/anonymisation/anonymising-quantitative-data/

15. Make data available in a format for long-term accessibility.
Step 7
https://www.loc.gov/preservation/resources/rfs/index.html
Adobe lays Flash to rest

17. Choose a trustworthy research data repository.
Step
[1-7]
Additional info on services
Types of access
Terms of use and license
Persistent identifier
Certified repository
Policy
https://www.re3data.org/
95 repositories from Australia (23.11.2021)
Don’t forget institutional repositories ;)
See also OpenAire’s Guides for
Researchers: How to select a
repository?

18. Thank You.
Data publication is a
shared responsibility
between data creators
and data repositories.
Source: www.cloudcodes.com