FAIR principle, FAIR Cookbook and FAIRsharing: https://genomicsstandardsconsortium.github.io/GSC23-Bangkok

1. The FAIR Principles: from theory to practice
GSC 23rd meeting, Bangkok, Thailand, 7-11 August, 2023
slideshare.net/SusannaSansone
Academic Lead
for Research Practice
Professor of Data Readiness
Susanna-Assunta Sansone, PhD
Associate Director
0000-0001-5306-5690
@SusannaASansone
susanna-assunta.sansone@oerc.ox.ac.uk
datareadiness.eng.ox.ac.uk

2. This requires data that are:
• Cited and stored to be discoverable
• Retrievable and structured in standard format(s)
• Richly described to be understandable
Discovery are made using shared data
https://www.forbes.com/sites/gilpress/2016/03/23/data-preparation-most-ti
me-consuming-least-enjoyable-data-science-task-survey-says/#276a35e6f637

3. A set of principles to enhance the
value of all digital resources and its
reuse by humans and machines
Data that is discoverable and usable at scale

4. Globally unique and
persistent identifiers
Community defined
descriptive metadata
Community defined
terminologies
Detailed
provenance
Terms of access
Terms of
use
The FAIR Principles in a nutshell

5. doi.org/10.2777/1524
www.gov.uk/government/publications/open-researc
h-data-task-force-final-report
www.turing.ac.uk/research/impact-stories/changing-culture-data-
science
FAIR has become a global norm for
good research data management practices
www.fair-access.net.au
doi.org/10.1787/25186167 https://unesdoc.unesco.org/ark:/482
23/pf0000379949.locale=en

6. ● 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
FAIR-driven digital transformation in pharmas

7. https://doi.org/10.1371/journal.pcbi.1007854
https://doi.org/10.1371/journal.pcbi.1007854
Software
Training material
Extending the reach of FAIR to other digital objects

8. Turning FAIR into practice: what is the problem?
“These high-level FAIR Guiding Principles precede implementation choices, and do not suggest any specific technology, standard, or
implementation-solution; moreover, the Principles are not, themselves, a standard or a specification. They act as a guide to data
publishers and stewards to assist them in evaluating whether their particular implementation choices are rendering their digital research
artefacts Findable, Accessible, Interoperable, and Reusable.”

9. Turning FAIR into practice: what is the problem?
It is a set of guiding principles that provide for a continuum of
increasing reusability, via many different implementations
“These high-level FAIR Guiding Principles precede implementation choices, and do not suggest any specific technology, standard, or
implementation-solution; moreover, the Principles are not, themselves, a standard or a specification. They act as a guide to data
publishers and stewards to assist them in evaluating whether their particular implementation choices are rendering their digital research
artefacts Findable, Accessible, Interoperable, and Reusable.”

10. Connect Discover
Describe
fairsharing.org
contact@fairsharing.org
Practical guidance on “how to FAIR” and standards
faircookbook.elixir-europe.org
faircookbook-ed@elixir-europe.org

11. Authored by almost 100 data
professionals from industry and
academia, led by ELIXIR Nodes,
with participation of USA NIH
An open, live resource for the life science with recipes that cover the operation steps of
FAIR data management
Adopted internationally!
Hands-on, technical step-by-step examples
Write recipes, share
your expertise,
showcase your tools
Recommend in policies,
use in educational
material
Hands-on, technical step-by-step examples
Write recipes, share
your expertise,
showcase your tools

12. Goal: improving visibility of content, e.g.:
Goal: semantic integration of datasets from multiple sources, e.g.:
Goal: security compliance and with regulators, e.g.:
https://w3id.org/faircookbook/FCB010
https://w3id.org/faircookbook/FCB007
https://w3id.org/faircookbook/FCB006
https://w3id.org/faircookbook/FCB020 https://w3id.org/faircookbook/FCB004
https://w3id.org/faircookbook/FCB014 https://w3id.org/faircookbook/FCB035
Hands-on recipes, focused on addressing needs

13. Contribute: citable, credited, hands-on focused

14. ● As educational material on FAIR in a training context
● As a practical guidance to improve day-to-day tasks for FAIRer data
● As contributor towards changing the culture and to identify investment areas in
research data management
Utility and value: academics and pharma context
https://doi.org/10.1038/s41597-023-02166-3

15. https://w3id.org/faircookbook/FCB079
FAIRification paths: one size does not fit all
Molecular
data
Clinical
(observation based) data
Clinical trial
(event based) data
Different contexts mandate different
metadata strategies and standards
https://doi.org/10.1038/s41597-023-02167-2

16. A curated, informative and educational resource on data and metadata standards, inter-related to
databases and data policies
Adopted
internationally!
Hands-on, technical step-by-step examples
Write recipes, share
your expertise,
showcase your tools
1. Guides consumers to discover, select
and use these resources with confidence
2. Helps producers to make their
resources more visible, more widely
adopted and cited
3. Powers third party tools by providing
trustworthy content to promote standards
and databases
Promote the
value and use
of these
resources
across all
disciplines
Adopted
internationally!

17. Over 2885 standards & databases in the Life Science
Identifiers
Terminologies Guidelines
Formats

18. GSC collection of standards interlinked
to databases and policies
fairsharing.org/GSC

19. GSC collection of standards interlinked
to databases and policies
fairsharing.org/GSC

20. Educational material on standards and databases
for all stakeholders
fairsharing.org/educational

21. European Research Landscape Study 2022
Publications Office of the European Union, 2022, https://data.europa.eu/doi/10.2777/3648; Also https://indico.lip.pt/event/1249/contributions/4555/
Objectives:
• To collect data on the level of maturity with
respect to FAIR data implementation
• To assess responsiveness and readiness of
research data repositories in terms of
implementation of FAIR principles
Scope:
• All fields of science
• Survey of researchers: 15066 responses
• Desk research; case studies; FAIRness
assessment

22. And not everything that can be measured matters!
Strive for the FAIR enough!
Follow your data journey
and your needs!
More importantly in the current tools the tests
used and the result given, are not comparable!!
The “cottage industry” of FAIR evaluation
fairassist.org
As of July 2023, there
are 25 independent
evaluation tools!

23. Turning FAIR into reality requires we:
• deliver a number of research infrastructures and tools
• implement standards for data and metadata
• address policies, education and training
• overcome technical, social and cultural challenges
• identify motivators, credit and rewards mechanisms
The road to FAIR data

24. Let's keep building and sharing
good research data management practices!
Researchers Developers and curators Journal publishers
Societies and Alliances
Librarians and Trainers Funders
dataset
software
models
workflows
code

25. fairsharing.org faircookbook.elixir-europe.org
faircookbook.elixir-europe.org/cont
ent/recipes/afterword/people.html
sansonegroup.eng.ox.ac.uk