Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#

1. FAIR data resources:
examples from the life sciences
Susanna-Assunta Sansone
ORCiD: 0000-0001-5306-5690 | Twitter: @SusannaASansone
datareadiness.eng.ox.ac.uk
Associate Professor, Information Engineering
Associate Director, Oxford e-Research Centre
FAIRification put into practice: Characterization of energy data and development of workflows, 6 July 2021
Slides: https://www.slideshare.net/SusannaSansone

2. • Globally unique, resolvable, and persistent identifiers
▪ To retrieve and connect data
• Community defined descriptive metadata
▪ To enhance discoverability
• Common terminologies
▪ To use the same term mean the same thing
• Detailed provenance
▪ To contextualize the data and facilitate reproducibility
• Terms of access
▪ Open as possible, closed as necessary
• Terms of use
▪ Clear licences, ideally to enable innovation and reuse
Findable
Accessible
Interoperable
Reusable
doi.org/10.2777/1524
FAIR Principles in a nutshell

3. Findable
Accessible
Interoperable
Reusable
Providing for a continuum of features,
attributes and behaviours
FAIR Principles are aspirational

4. Define Implement Embed & Sustain
Concepts for FAIR
implementation
FAIR
culture
FAIR
ecosystem
Skills for
FAIR
Incentives and
metrics for FAIR
data and services
Investment in
FAIR
Economic Technical Social Political
doi.org/10.2777/1524
Making FAIR a reality in the research ecosystem
Findable
Accessible
Interoperable
Reusable

6. Developing a FAIR services framework in ELIXIR
Credit to ELIXIR Interoperability
Platform and Carole Goble

8. DATA & METADATA STANDARDS
REPOSITORIES
databases and
knowledgebases
DATA POLICIES
by funders, journals and
other organizations
Provides curated, community-vetted
descriptions and knowledge graphs that
represent these resources and their inter-relationships
FAIRsharing: for standards, databases and policies

9. Guides consumers to discover, select and use these
resources with confidence
Helps producers to make their resources more visible,
more widely adopted and cited
FAIRsharing: working with and for all stakeholders

10. FAIRsharing: three examples of use

11. A flagship output of and a WG in:
Recommended by funders,e.g.:
fairsharing.org/communities
FAIRsharing: for all disciplines, join the community!

12. (Educational component of FAIRsharing, work in progress!)

13. Examples:
A growing number of metrics, indicators,
certifications of FAIRness
Diversity of methods and opinions:
• Metrics and indicators
• Automated and manual

15. What is it?
An online, ‘live’ resource
for the life sciences
A collection of recipes
that cover the operation
steps of FAIR data
management
Who is it for?
Who developed it?
Researchers and data
managers professionals
in the life sciences, from
academia and industry
Including ELIXIR
members
fairplus-cookbook@elixir-europe.org
https://fairplus.github.io/the-fair-cookbook
FAIR Cookbook: overview

16. • Biopharma R&D productivity can be improved
by implementing the FAIR Principles
• FAIR enables powerful new AI analytics to
access data for machine learning and prediction
Ø Requirements
§ financial, technical, training
Ø Challenges
§ change the culture, show business value,
achieve the ‘FAIR enough’ on an enterprise scale
FAIR in pharmas R&D
FAIR, as enable for the digital transformation

17. Learn how to improve the FAIRness with exemplar datasets
Understand the levels and indicators of FAIRness
Discover open source technologies, tools and services
Find out the required skills
Acknowledge the challenges
FAIR Cookbook: learning objectives
fairplus-cookbook@elixir-europe.org
https://fairplus.github.io/the-fair-cookbook

18. fairplus-cookbook@elixir-europe.org
https://fairplus.github.io/the-fair-cookbook
Recipes that cover all aspects of FAIRness

19. https://doi.org/10.1038/s41597-019-0286-0
fairplus-cookbook@elixir-europe.org
https://fairplus.github.io/the-fair-cookbook
Applied examples: these are key!

20. elixir-europe.org/events/fairplus-webinar-discovering-fair-cookbook
Watch the webinar for
more information

21. +50 life sciences professionals, researchers and data managers
FARIplus
partners
Industry
+
Academia
ELIXIR
Nodes
represented
FAIR Cookbook: creators and contributors
fairplus-cookbook@elixir-europe.org
https://fairplus.github.io/the-fair-cookbook

22. FAIRification is a team sport...
...it takes a village…
…but it is no longer optional!