SlideShare a Scribd company logo
1 of 24
Download to read offline
The FAIR Cookbook
datareadiness.eng.ox.ac.uk
UK Conference of Bioinformatics and Computational Biology, 29-30 Sep 2021
Philippe Rocca-Serra, PhD
Group Coordinator & co-Investigator, OeRC;
Associate Member of Faculty, Engineering
Science, University of Oxford
ORCiD: 0000-0001-9853-5668
Twitter: @Phil_at_OeRC
Susanna-Assunta Sansone, PhD
Associate Director, OeRC;
Associate Professor, Engineering Science,
University of Oxford
ORCiD: 0000-0001-5306-5690
Twitter: @SusannaASansone
On behalf of the FAIR Cookbook Authors
FAIR
Cookbook
A guided tour to
a live resource
https://fairplus.github.io/the-fair-cookbook/content/home.html
The FAIR Cookbook
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?
Anyone who needs
practical assistance in
their FAIRification
journey or creates FAIR
guidance and
educational material
Who developed it?
Researchers and data
managers professionals
in the life sciences, from
academia and industry
Including ELIXIR
members
Motivations and ambitions
beyond the hype
Large body of generic FAIR
guidance
Motivations
Non-specific guidance for
the life sciences
Ambitions
Target specific situations to deliver a guide with
applied examples
Join academia and industry forces to make the
case for FAIR data management
Build capacity for high quality data
management in the private and public sectors
Learning objectives
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
Who is the Cookbook user?
Researchers, Data
Scientists, Principal
Investigators
Data Managers, Data
Stewards, Data Curators
Software Developers,
Terminology
Managers
Policymakers,
Funders, Trainers
Aim (target FAIR indicators)
F1. (Meta)data are assigned a
globally unique and persistent
identifier
A1. (Meta)data are retrievable
by their identifier using a
standardised communications
protocol
A combination of guidance, technical, hands-on, background
and review types to cover the operational steps of FAIR data
management
8
2
16
5
4
2
9
Findability
Accessibility
Interoperability
Reusability
Infrastructure
Assessment
Applied examples
The recipes, the chapters
Looking for benchmark, or
how to get started
We provided an introduction
to FAIR data to a team, that
now want to integrate a few
datasets into a knowledge
graph to support a specific
analysis.
They need to build an
application ontology to
support this.
How do they get started?
Where is the value?
Step by step process
Guidelines, process, description
References
What should I read next?
Ingredients
An idea of tools/skills needed
Examples
Practical
elements, code
snippets
#Python3
#zooma-annotator-script.py
file
def
get_annotations(propertyTy
pe, propertyValues, filters =
""): "””
Get Zooma annotations for
the values of a given
property of a given type.
""”
import requests
annotations = []
no_annotations = []
1. Recipe Summary card
2. Visual overview
3. Executable code (nice to have)
https://w3id.org/faircookbook/FCB006
Aim (target FAIR indicators)
The FAIRness of the Cookbook
Findability
Sitemap.xml, JSON-LD
Markup with Schema.org,
Bioschemas
w3id.org unique persistent
identifiers for each recipe
ORCID for authors
Accessibility
HTTPS protocol
Interoperability
JSON-LD markup
Cross-links to objects in other
registries
incl. Biotools (tools)
FAIRsharing (repositories, standards)
CreDiT attribution ontology
Reusability
CC BY 4.0 license for all
content
How to contribute with some
development to the wider public
New recipe request
Become part of a
community of FAIR experts!
1Identify a chapter and a topic
Findability Accessibility Interoperability Reusability
Infrastructure Applied examples Assessment
2 Choose a way of contributing and see our guidelines
Google Docs
HackMD
Git
Markdown cheat sheet
Get recipe template
Tips and tricks
Submit an
outline
3
You can
discuss it
with the
Editorial
Board
Contributors to date
+50 life sciences professionals, researchers and data managers
FARIplus
partners
Industry
+
Academia
ELIXIR
Nodes
represented
Coordinators and editors
we are here to help
Content prioritisation
Identification of topics
Review of drafts
Call for contributions
Monthly book-dash
events
Pre-defined focus areas
Breakout on topics
Housekeeping
Technical platform
Website
Editorial Board Sections Board
The newly
developed
sections board
assists the
editorial board
Where is the value?
Understand how a resource can fit in different
contexts
Have a way to share resources, as to externalise
maintenance (keep them alive)
Potentially find synergies with other
recipes/components
The roadmap,
our steps
concept prototype product
Improvement/
growth
RECIPES
PLATFORM
SUSTAINABILITY PLAN
ETHICAL VALUES
ELIXIR
ecosystem
e.g. RDMkit,
FAIRsharing,
FAIRassist
Pistoia Alliance’s
FAIR Toolkit
Anchoring it to
the FAIRification
process, via a
FAIR wizard
Tagging them
with
Terms4FAIRskill
terminology
Embed it into the
planned ELIXIR
Knowledge Hub
Monthly book
dashes and
continued releases
Planned session at
ELIXIR All Hands,
June 2021
Community
growth
Cross-links
with resources
Enhance
searchability
Embed it into
sustainable
plans
A live ever-growing resource
Start using the
FAIR Cookbook
Help us to help you,
this is a user-
oriented resource
Join a network
of FAIR experts
Share and broaden
your expertise,
joining our journey
Contribute
according to
your needs
Create and review,
or signpost gaps and
needs
Benefit from the
power of the
FAIR community
Become a recognised
expert, enlarge your
network
Recommend it
in your guidance
and training
material
For everyone
The roadmap,
your steps
use it join it
adopt it
leverage it
Start using the
FAIR Cookbook
Help us to help you,
this is a user-
oriented resource
Join a network
of FAIR experts
Share and broaden
your expertise,
joining our journey
Contribute
according to
your needs
Create and review,
or signpost gaps and
needs
Benefit from the
power of the
FAIR community
Become a recognised
expert, enlarge your
network
Recommend it
in your guidance
and training
material
For everyone
use it join it
adopt it
leverage it
Included
in the
new
version =>
Watch the
webinar with a
full presentation
elixir-europe.org/events/fairplus-webinar-discovering-fair-cookbook
Thanks to
Editorial Board
Section Editors
FAIRplus partners
All bookdashes’ participants
All authors
fairplus-
cookbook@elixir-
europe.org
https://fairplus.github.i
o/the-fair-cookbook
@FAIRplus @FAIRplus_EU
Wei Gu,
ELIXIR-LU,
Luxembourg
Robert
Giessmann,
Bayer
Philippe
Rocca-Serra
ELIXIR-UK
Oxford
Andrea
Splendiani,
Novartis
Tony
Burdett,
ELIXIR-EBI,
EBI
Susanna
Sansone,
ELIXIR-UK
Oxford

More Related Content

What's hot

RDA17 FAIRsharing WG sessions: on repositories and policies
RDA17 FAIRsharing WG sessions: on repositories and policiesRDA17 FAIRsharing WG sessions: on repositories and policies
RDA17 FAIRsharing WG sessions: on repositories and policiesSusanna-Assunta Sansone
 
FAIRsharing - focus on standards and new features
FAIRsharing - focus on standards and new features FAIRsharing - focus on standards and new features
FAIRsharing - focus on standards and new features Susanna-Assunta Sansone
 
NIH BD2K bioCADDIE DataMed: Data Discovery Index
NIH BD2K bioCADDIE DataMed: Data Discovery IndexNIH BD2K bioCADDIE DataMed: Data Discovery Index
NIH BD2K bioCADDIE DataMed: Data Discovery IndexSusanna-Assunta Sansone
 
The FAIR movement - Oxford Open Data Week
The FAIR movement - Oxford Open Data WeekThe FAIR movement - Oxford Open Data Week
The FAIR movement - Oxford Open Data WeekSusanna-Assunta Sansone
 
The FAIR Principles and the IMI FAIRplus project
The FAIR Principles and the IMI FAIRplus projectThe FAIR Principles and the IMI FAIRplus project
The FAIR Principles and the IMI FAIRplus projectSusanna-Assunta Sansone
 
FAIR data and standards for a coordinated COVID-19 response
FAIR data and standards for a coordinated COVID-19 responseFAIR data and standards for a coordinated COVID-19 response
FAIR data and standards for a coordinated COVID-19 responseSusanna-Assunta Sansone
 
Behind the FAIR brand: Thinkers, Doers and Dreamers
Behind the FAIR brand: Thinkers, Doers and DreamersBehind the FAIR brand: Thinkers, Doers and Dreamers
Behind the FAIR brand: Thinkers, Doers and DreamersSusanna-Assunta Sansone
 
FAIRification is a Team Sport: FAIRsharing and the FAIR Cookbook
FAIRification is a Team Sport: FAIRsharing and the FAIR CookbookFAIRification is a Team Sport: FAIRsharing and the FAIR Cookbook
FAIRification is a Team Sport: FAIRsharing and the FAIR CookbookSusanna-Assunta Sansone
 
Data publication: Discover, Explore, Visualise
Data publication: Discover, Explore, VisualiseData publication: Discover, Explore, Visualise
Data publication: Discover, Explore, VisualiseAlejandra Gonzalez-Beltran
 
Metadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATOMetadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATOAlejandra Gonzalez-Beltran
 
Managing Big Data - Berlin, July 9-10, 201.
Managing Big Data - Berlin, July 9-10, 201.Managing Big Data - Berlin, July 9-10, 201.
Managing Big Data - Berlin, July 9-10, 201.Susanna-Assunta Sansone
 
FAIRsharing, FAIR principles and metrics - Working with/for the Agro domain
FAIRsharing, FAIR principles and metrics - Working with/for the Agro domainFAIRsharing, FAIR principles and metrics - Working with/for the Agro domain
FAIRsharing, FAIR principles and metrics - Working with/for the Agro domainSusanna-Assunta Sansone
 
FAIRsharing COVID-19 Collection for The Global Health Network
FAIRsharing COVID-19 Collection for The Global Health NetworkFAIRsharing COVID-19 Collection for The Global Health Network
FAIRsharing COVID-19 Collection for The Global Health NetworkSusanna-Assunta Sansone
 
The Software Sustainability Institute Fellowship
The Software Sustainability Institute FellowshipThe Software Sustainability Institute Fellowship
The Software Sustainability Institute FellowshipAlejandra Gonzalez-Beltran
 
FAIR and metadata standards - FAIRsharing and Neuroscience
FAIR and metadata standards - FAIRsharing and NeuroscienceFAIR and metadata standards - FAIRsharing and Neuroscience
FAIR and metadata standards - FAIRsharing and NeuroscienceSusanna-Assunta Sansone
 

What's hot (20)

FAIR, FAIRplus and the FAIR Cookbook
FAIR, FAIRplus and the FAIR Cookbook FAIR, FAIRplus and the FAIR Cookbook
FAIR, FAIRplus and the FAIR Cookbook
 
RDA17 FAIRsharing WG sessions: on repositories and policies
RDA17 FAIRsharing WG sessions: on repositories and policiesRDA17 FAIRsharing WG sessions: on repositories and policies
RDA17 FAIRsharing WG sessions: on repositories and policies
 
FAIRsharing - focus on standards and new features
FAIRsharing - focus on standards and new features FAIRsharing - focus on standards and new features
FAIRsharing - focus on standards and new features
 
NIH BD2K bioCADDIE DataMed: Data Discovery Index
NIH BD2K bioCADDIE DataMed: Data Discovery IndexNIH BD2K bioCADDIE DataMed: Data Discovery Index
NIH BD2K bioCADDIE DataMed: Data Discovery Index
 
The FAIR movement - Oxford Open Data Week
The FAIR movement - Oxford Open Data WeekThe FAIR movement - Oxford Open Data Week
The FAIR movement - Oxford Open Data Week
 
The FAIR Principles and the IMI FAIRplus project
The FAIR Principles and the IMI FAIRplus projectThe FAIR Principles and the IMI FAIRplus project
The FAIR Principles and the IMI FAIRplus project
 
FAIR and FAIRsharing - ESOF 2020
FAIR and FAIRsharing - ESOF 2020FAIR and FAIRsharing - ESOF 2020
FAIR and FAIRsharing - ESOF 2020
 
FAIR data and standards for a coordinated COVID-19 response
FAIR data and standards for a coordinated COVID-19 responseFAIR data and standards for a coordinated COVID-19 response
FAIR data and standards for a coordinated COVID-19 response
 
Metadata for Interoperable Bioscience
Metadata for Interoperable BioscienceMetadata for Interoperable Bioscience
Metadata for Interoperable Bioscience
 
Behind the FAIR brand: Thinkers, Doers and Dreamers
Behind the FAIR brand: Thinkers, Doers and DreamersBehind the FAIR brand: Thinkers, Doers and Dreamers
Behind the FAIR brand: Thinkers, Doers and Dreamers
 
FAIRification is a Team Sport: FAIRsharing and the FAIR Cookbook
FAIRification is a Team Sport: FAIRsharing and the FAIR CookbookFAIRification is a Team Sport: FAIRsharing and the FAIR Cookbook
FAIRification is a Team Sport: FAIRsharing and the FAIR Cookbook
 
Data publication: Discover, Explore, Visualise
Data publication: Discover, Explore, VisualiseData publication: Discover, Explore, Visualise
Data publication: Discover, Explore, Visualise
 
Metadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATOMetadata challenges research and re-usable data - BioSharing, ISA and STATO
Metadata challenges research and re-usable data - BioSharing, ISA and STATO
 
FAIRsharing for RDA Funders Forum
FAIRsharing for RDA Funders ForumFAIRsharing for RDA Funders Forum
FAIRsharing for RDA Funders Forum
 
Managing Big Data - Berlin, July 9-10, 201.
Managing Big Data - Berlin, July 9-10, 201.Managing Big Data - Berlin, July 9-10, 201.
Managing Big Data - Berlin, July 9-10, 201.
 
FAIRsharing, FAIR principles and metrics - Working with/for the Agro domain
FAIRsharing, FAIR principles and metrics - Working with/for the Agro domainFAIRsharing, FAIR principles and metrics - Working with/for the Agro domain
FAIRsharing, FAIR principles and metrics - Working with/for the Agro domain
 
FAIRsharing COVID-19 Collection for The Global Health Network
FAIRsharing COVID-19 Collection for The Global Health NetworkFAIRsharing COVID-19 Collection for The Global Health Network
FAIRsharing COVID-19 Collection for The Global Health Network
 
The Software Sustainability Institute Fellowship
The Software Sustainability Institute FellowshipThe Software Sustainability Institute Fellowship
The Software Sustainability Institute Fellowship
 
FAIR overview - MAQC Society, Feb 2018
FAIR overview - MAQC Society, Feb 2018FAIR overview - MAQC Society, Feb 2018
FAIR overview - MAQC Society, Feb 2018
 
FAIR and metadata standards - FAIRsharing and Neuroscience
FAIR and metadata standards - FAIRsharing and NeuroscienceFAIR and metadata standards - FAIRsharing and Neuroscience
FAIR and metadata standards - FAIRsharing and Neuroscience
 

Similar to The FAIR Cookbook in a nutshell

The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...
The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...
The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...Carole Goble
 
Reproducible Research: how could Research Objects help
Reproducible Research: how could Research Objects helpReproducible Research: how could Research Objects help
Reproducible Research: how could Research Objects helpCarole Goble
 
Facilitate Research Communities Adoption of Open Science Publishing Principle...
Facilitate Research Communities Adoption of Open Science Publishing Principle...Facilitate Research Communities Adoption of Open Science Publishing Principle...
Facilitate Research Communities Adoption of Open Science Publishing Principle...OpenAIRE
 
CINECA webinar slides: FAIR software tools
CINECA webinar slides: FAIR software toolsCINECA webinar slides: FAIR software tools
CINECA webinar slides: FAIR software toolsCINECAProject
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024Susanna-Assunta Sansone
 
dorsdl2006-arrow
dorsdl2006-arrowdorsdl2006-arrow
dorsdl2006-arrowguestfbf1e1
 
Introduction to FAIRDOM
Introduction to FAIRDOMIntroduction to FAIRDOM
Introduction to FAIRDOMCarole Goble
 
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)Tom Plasterer
 
FAIRsharing presentation at the Japan Science and Technology Agency
FAIRsharing presentation at the Japan Science and Technology AgencyFAIRsharing presentation at the Japan Science and Technology Agency
FAIRsharing presentation at the Japan Science and Technology AgencyPeter McQuilton
 
Introduction to the workshop Services to support FAIR data - Sarah Jones
Introduction to the workshop Services to support FAIR data - Sarah JonesIntroduction to the workshop Services to support FAIR data - Sarah Jones
Introduction to the workshop Services to support FAIR data - Sarah JonesOpenAIRE
 
FAIRsharing: curating an ecosystem of research standards and databases
FAIRsharing: curating an ecosystem of research standards and databasesFAIRsharing: curating an ecosystem of research standards and databases
FAIRsharing: curating an ecosystem of research standards and databasesAllyson Lister
 

Similar to The FAIR Cookbook in a nutshell (20)

FAIRcookbook: GSRS22-Singapore
FAIRcookbook: GSRS22-SingaporeFAIRcookbook: GSRS22-Singapore
FAIRcookbook: GSRS22-Singapore
 
FAIR-4-GSC-Sansone-Aug23.pdf
FAIR-4-GSC-Sansone-Aug23.pdfFAIR-4-GSC-Sansone-Aug23.pdf
FAIR-4-GSC-Sansone-Aug23.pdf
 
FAIR Cookbook
FAIR Cookbook FAIR Cookbook
FAIR Cookbook
 
Metadata Standards
Metadata StandardsMetadata Standards
Metadata Standards
 
The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...
The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...
The ELIXIR FAIR Knowledge Ecosystem for practical know-how: RDMkit and FAIRCo...
 
Reproducible Research: how could Research Objects help
Reproducible Research: how could Research Objects helpReproducible Research: how could Research Objects help
Reproducible Research: how could Research Objects help
 
FAIRsharing & FAIRcookbook at RDA 2023
FAIRsharing & FAIRcookbook at RDA 2023FAIRsharing & FAIRcookbook at RDA 2023
FAIRsharing & FAIRcookbook at RDA 2023
 
Facilitate Research Communities Adoption of Open Science Publishing Principle...
Facilitate Research Communities Adoption of Open Science Publishing Principle...Facilitate Research Communities Adoption of Open Science Publishing Principle...
Facilitate Research Communities Adoption of Open Science Publishing Principle...
 
CINECA webinar slides: FAIR software tools
CINECA webinar slides: FAIR software toolsCINECA webinar slides: FAIR software tools
CINECA webinar slides: FAIR software tools
 
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
FAIR, FAIRsharing, FAIR Cookbook and ELIXIR - Sansone SA - Boston 2024
 
dorsdl2006-arrow
dorsdl2006-arrowdorsdl2006-arrow
dorsdl2006-arrow
 
FAIR: standards and services
FAIR: standards and servicesFAIR: standards and services
FAIR: standards and services
 
Introduction to FAIRDOM
Introduction to FAIRDOMIntroduction to FAIRDOM
Introduction to FAIRDOM
 
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
Making Data FAIR (Findable, Accessible, Interoperable, Reusable)
 
FAIR play?
FAIR play? FAIR play?
FAIR play?
 
Sansone mibbi-intro
Sansone mibbi-introSansone mibbi-intro
Sansone mibbi-intro
 
Introduction to Research Data Management - 2016-02-03 - MPLS Division, Univer...
Introduction to Research Data Management - 2016-02-03 - MPLS Division, Univer...Introduction to Research Data Management - 2016-02-03 - MPLS Division, Univer...
Introduction to Research Data Management - 2016-02-03 - MPLS Division, Univer...
 
FAIRsharing presentation at the Japan Science and Technology Agency
FAIRsharing presentation at the Japan Science and Technology AgencyFAIRsharing presentation at the Japan Science and Technology Agency
FAIRsharing presentation at the Japan Science and Technology Agency
 
Introduction to the workshop Services to support FAIR data - Sarah Jones
Introduction to the workshop Services to support FAIR data - Sarah JonesIntroduction to the workshop Services to support FAIR data - Sarah Jones
Introduction to the workshop Services to support FAIR data - Sarah Jones
 
FAIRsharing: curating an ecosystem of research standards and databases
FAIRsharing: curating an ecosystem of research standards and databasesFAIRsharing: curating an ecosystem of research standards and databases
FAIRsharing: curating an ecosystem of research standards and databases
 

More from Susanna-Assunta Sansone

More from Susanna-Assunta Sansone (8)

FAIRsharing-Standards-4-GSC-Aug23.pdf
FAIRsharing-Standards-4-GSC-Aug23.pdfFAIRsharing-Standards-4-GSC-Aug23.pdf
FAIRsharing-Standards-4-GSC-Aug23.pdf
 
NFDI Physical Sciences Colloquium - FAIR
NFDI Physical Sciences Colloquium - FAIRNFDI Physical Sciences Colloquium - FAIR
NFDI Physical Sciences Colloquium - FAIR
 
FAIR, community standards and data FAIRification: components and recipes
FAIR, community standards and data FAIRification: components and recipesFAIR, community standards and data FAIRification: components and recipes
FAIR, community standards and data FAIRification: components and recipes
 
FAIRsharing and the FAIR Cookbook
FAIRsharing and the FAIR Cookbook FAIRsharing and the FAIR Cookbook
FAIRsharing and the FAIR Cookbook
 
FAIRsharing for EOSC
FAIRsharing for EOSC FAIRsharing for EOSC
FAIRsharing for EOSC
 
FAIRsharing: what we do for policies
FAIRsharing: what we do for policiesFAIRsharing: what we do for policies
FAIRsharing: what we do for policies
 
FAIRsharing: how we assist with FAIRness
FAIRsharing: how we assist with FAIRnessFAIRsharing: how we assist with FAIRness
FAIRsharing: how we assist with FAIRness
 
ELIXIR FAIR Activities - Examplars
ELIXIR FAIR Activities - ExamplarsELIXIR FAIR Activities - Examplars
ELIXIR FAIR Activities - Examplars
 

Recently uploaded

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...shivangimorya083
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...shambhavirathore45
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Delhi Call girls
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxolyaivanovalion
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...amitlee9823
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxolyaivanovalion
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Valters Lauzums
 

Recently uploaded (20)

Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
 
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...Vip Model  Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
Vip Model Call Girls (Delhi) Karol Bagh 9711199171✔️Body to body massage wit...
 
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts ServiceCall Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
Call Girls In Shalimar Bagh ( Delhi) 9953330565 Escorts Service
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...Determinants of health, dimensions of health, positive health and spectrum of...
Determinants of health, dimensions of health, positive health and spectrum of...
 
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
Call Girls in Sarai Kale Khan Delhi 💯 Call Us 🔝9205541914 🔝( Delhi) Escorts S...
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
BabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptxBabyOno dropshipping via API with DroFx.pptx
BabyOno dropshipping via API with DroFx.pptx
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 
Zuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptxZuja dropshipping via API with DroFx.pptx
Zuja dropshipping via API with DroFx.pptx
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 

The FAIR Cookbook in a nutshell

  • 1. The FAIR Cookbook datareadiness.eng.ox.ac.uk UK Conference of Bioinformatics and Computational Biology, 29-30 Sep 2021 Philippe Rocca-Serra, PhD Group Coordinator & co-Investigator, OeRC; Associate Member of Faculty, Engineering Science, University of Oxford ORCiD: 0000-0001-9853-5668 Twitter: @Phil_at_OeRC Susanna-Assunta Sansone, PhD Associate Director, OeRC; Associate Professor, Engineering Science, University of Oxford ORCiD: 0000-0001-5306-5690 Twitter: @SusannaASansone On behalf of the FAIR Cookbook Authors
  • 2. FAIR Cookbook A guided tour to a live resource https://fairplus.github.io/the-fair-cookbook/content/home.html
  • 3. The FAIR Cookbook 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? Anyone who needs practical assistance in their FAIRification journey or creates FAIR guidance and educational material Who developed it? Researchers and data managers professionals in the life sciences, from academia and industry Including ELIXIR members
  • 4. Motivations and ambitions beyond the hype Large body of generic FAIR guidance Motivations Non-specific guidance for the life sciences Ambitions Target specific situations to deliver a guide with applied examples Join academia and industry forces to make the case for FAIR data management Build capacity for high quality data management in the private and public sectors
  • 5. Learning objectives 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
  • 6. Who is the Cookbook user? Researchers, Data Scientists, Principal Investigators Data Managers, Data Stewards, Data Curators Software Developers, Terminology Managers Policymakers, Funders, Trainers
  • 7. Aim (target FAIR indicators) F1. (Meta)data are assigned a globally unique and persistent identifier A1. (Meta)data are retrievable by their identifier using a standardised communications protocol
  • 8. A combination of guidance, technical, hands-on, background and review types to cover the operational steps of FAIR data management 8 2 16 5 4 2 9 Findability Accessibility Interoperability Reusability Infrastructure Assessment Applied examples The recipes, the chapters
  • 9. Looking for benchmark, or how to get started We provided an introduction to FAIR data to a team, that now want to integrate a few datasets into a knowledge graph to support a specific analysis. They need to build an application ontology to support this. How do they get started?
  • 10. Where is the value? Step by step process Guidelines, process, description References What should I read next? Ingredients An idea of tools/skills needed Examples Practical elements, code snippets #Python3 #zooma-annotator-script.py file def get_annotations(propertyTy pe, propertyValues, filters = ""): "”” Get Zooma annotations for the values of a given property of a given type. ""” import requests annotations = [] no_annotations = []
  • 11. 1. Recipe Summary card 2. Visual overview 3. Executable code (nice to have) https://w3id.org/faircookbook/FCB006 Aim (target FAIR indicators)
  • 12. The FAIRness of the Cookbook Findability Sitemap.xml, JSON-LD Markup with Schema.org, Bioschemas w3id.org unique persistent identifiers for each recipe ORCID for authors Accessibility HTTPS protocol Interoperability JSON-LD markup Cross-links to objects in other registries incl. Biotools (tools) FAIRsharing (repositories, standards) CreDiT attribution ontology Reusability CC BY 4.0 license for all content
  • 13. How to contribute with some development to the wider public
  • 15. Become part of a community of FAIR experts! 1Identify a chapter and a topic Findability Accessibility Interoperability Reusability Infrastructure Applied examples Assessment 2 Choose a way of contributing and see our guidelines Google Docs HackMD Git Markdown cheat sheet Get recipe template Tips and tricks Submit an outline 3 You can discuss it with the Editorial Board
  • 16. Contributors to date +50 life sciences professionals, researchers and data managers FARIplus partners Industry + Academia ELIXIR Nodes represented
  • 17. Coordinators and editors we are here to help Content prioritisation Identification of topics Review of drafts Call for contributions Monthly book-dash events Pre-defined focus areas Breakout on topics Housekeeping Technical platform Website Editorial Board Sections Board The newly developed sections board assists the editorial board
  • 18. Where is the value? Understand how a resource can fit in different contexts Have a way to share resources, as to externalise maintenance (keep them alive) Potentially find synergies with other recipes/components
  • 19. The roadmap, our steps concept prototype product Improvement/ growth RECIPES PLATFORM SUSTAINABILITY PLAN ETHICAL VALUES
  • 20. ELIXIR ecosystem e.g. RDMkit, FAIRsharing, FAIRassist Pistoia Alliance’s FAIR Toolkit Anchoring it to the FAIRification process, via a FAIR wizard Tagging them with Terms4FAIRskill terminology Embed it into the planned ELIXIR Knowledge Hub Monthly book dashes and continued releases Planned session at ELIXIR All Hands, June 2021 Community growth Cross-links with resources Enhance searchability Embed it into sustainable plans A live ever-growing resource
  • 21. Start using the FAIR Cookbook Help us to help you, this is a user- oriented resource Join a network of FAIR experts Share and broaden your expertise, joining our journey Contribute according to your needs Create and review, or signpost gaps and needs Benefit from the power of the FAIR community Become a recognised expert, enlarge your network Recommend it in your guidance and training material For everyone The roadmap, your steps use it join it adopt it leverage it
  • 22. Start using the FAIR Cookbook Help us to help you, this is a user- oriented resource Join a network of FAIR experts Share and broaden your expertise, joining our journey Contribute according to your needs Create and review, or signpost gaps and needs Benefit from the power of the FAIR community Become a recognised expert, enlarge your network Recommend it in your guidance and training material For everyone use it join it adopt it leverage it Included in the new version =>
  • 23. Watch the webinar with a full presentation elixir-europe.org/events/fairplus-webinar-discovering-fair-cookbook
  • 24. Thanks to Editorial Board Section Editors FAIRplus partners All bookdashes’ participants All authors fairplus- cookbook@elixir- europe.org https://fairplus.github.i o/the-fair-cookbook @FAIRplus @FAIRplus_EU Wei Gu, ELIXIR-LU, Luxembourg Robert Giessmann, Bayer Philippe Rocca-Serra ELIXIR-UK Oxford Andrea Splendiani, Novartis Tony Burdett, ELIXIR-EBI, EBI Susanna Sansone, ELIXIR-UK Oxford