Enabling FAIR Data Shared Data – A Collaborative Approach December 19, 2018

1. Author(s):
Date: 19 December 2018
1
Enabling FAIR Data
Shared Data – A Collaborative Approach
Anita de Waard, VP Research Data Collaborations

2. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
1. What is FAIR Data and why does it matter?
2. The AGU ‘Enabling FAIR Data’ Project:
• Project goals
• Stakeholders
• Outputs:
1. Commitment Statement
2. Repository Finder
3. Shared Authoring Guidelines:
• Data citation principles
• Data availability statements
3. Next steps.
Outline:

3. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018 3
FAIR Data Principles:
Findable
Accessible
Interoperable
Reusable
Wilkinson, M. D. et al. The FAIR Guiding Principles for scientific data management
and stewardship. Sci. Data 3:160018 doi: 10.1038/sdata.2016.18 (2016).
R1. (meta)data are richly described with a plurality of accurate and relevant attributes
R2. (meta)data are released with a clear and accessible data usage license
R2. (meta)data are associated with detailed provenance
R3. (meta)data meet domain-relevant community standards
I1. (meta)data use a formal, accessible, shared language for knowledge representation.
I2. (meta)data use vocabularies that follow FAIR principles
I3. (meta)data include qualified references to other (meta)data
A1. (meta)data are retrievable by their identifier using a standardized
communications protocol
A2. (meta)data are accessible, even when the data are no longer available
F1. (meta)data are assigned a globally unique and persistent identifier
F2. data are described with rich metadata (defined by R1 below)
F3. metadata clearly and explicitly include the identifier of the data it describes
F4. (meta)data are registered or indexed in a searchable resource

4. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
Sharing Research Data is Increasingly Important:
Strongly
agree/Agree
Neither agree nor
disagree/Don’t know
Strongly disagree/
Disagree
https://www.universiteitleiden.nl/en/research/research-output/social-
and-behavioural-sciences/open-data-the-researcher-perspective

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Evolution of Data Sharing:
Cross Community
Connections
International Discovery
Global,
unique PIDs
Citation
Support
Clear
Licenses
Internal
Ids
Community
evolved
standards
Targeted
Discovery
Machine and
human
accessible;
documentation
for multiple
audiences
Researcher Communities
Evolving
(© Shelley Stall and Erin Robinson)

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Project Objectives:
• Scholarly publishers:
• adopt common policy on data sharing
• all data are to be deposited, documented, and preserved
in a FAIR-aligned repository,a
• cited in the manuscript with an appropriate data
availability statement.
• Scientific repositories:
• Provide services to ensure data and software that
support published research are well documented
• identified with global persistent identifiers
• have landing pages with both machine
and human readable information.
Enabling FAIR Data in the Earth, Space, and Environmental Sciences
Funded by the Laura and John Arnold Foundation to the AGU

7. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
• Repositories:
• National Computational Infrastructure (NCI)
• AuScope
• Australian National Data Service (ANDS)
• Center for Open Science
• DataCite / re3data
• ORCID
• CrossRef
• CHORUS
• Scholix
• OSGeo
• Pangaea
• DataONE
7
• Science Data Communities:
• AGU, EGU
• Earth Science Information Partners (ESIP)
• Research Data Alliance (RDA)
• EarthCube /Council for Data Facilities
• DataONE
• FORCE11
• World Data Systems
• Publishers:
• AGU
• PNAS
• SpringerNature
• Science/AAAS
• Elsevier
• PLOS
-
• Hindawi
• Copernicus
• Wiley
• Digital Science
Enabling FAIR Data, Partners:

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1. Commitment Statement:
• Follow up to the COPDESS Statement
• Sets out principles for data sharing, storage, citation
• Extensive FAQ for use by repositories/publishers/researchers
• Over 90 Signatories (11 publishers) support principles
2. Repository Finder:
• Tool developed by DataCite
• Allows researchers to find appropriate repository
• Keeps track of compliance with guidelines
3. Shared Authoring Guidelines:
• Endorsed by multi-publisher group
• Supporting Commitment statement
• Integration in workflow up to publishers
-
Enabling FAIR Data, Outputs:
http://www.copdess.org/enabling-fair-data-project/

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http://www.copdess.org/enabling-fair-data-project/
Funded by the Laura and John
Arnold Foundation

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Commitment Statement, Frequently Asked Questions
https://copdess.org/enabling-fair-data-project/enabling-fair-data-faqs/
Table of Contents
1. Selecting a Repository
2. Data Deposition and Sharing
3. Data Availability Statement and Data Citation
4. Software Citation and Curation
5. Physical Samples
6. Enabling FAIR Data Project Questions and additional resources

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• Ensure that research outputs are:
• Open and FAIR,
• have essential documentation, and
• include human-readable and machine-readable metadata (e.g., on landing pages) in standard formats
• that are exposed and publicly discoverable.
• Ingest and expose data to promote interoperability and reuse.
• Ensure that unique, persistent identifiers are used for:
• authors (e.g., ORCID),
• research objects (e.g., Digital Object Identifier), and
• physical samples (e.g., IGSN).
• Create associations among the research outputs that they manage and other related
entities.
• Ensure that data and software have licenses that are as open as possible, and as protected
as necessary.
• Support peer-review of related manuscripts by enabling access to the research outputs
prior to publication.
• Gain third-party validation of trustworthy and sustainable practices and capabilities.
Enabling FAIR Data: Repository Commitment

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Developed by: DataCite/re3data https://repositoryfinder.datacite.org

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IndicationofCertification(e.g.CoreTrustSeal)

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CoreTrustSeal.org Certification
ICSU World Data System (WDS)

16. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018 16
FAIR-Aligned Publishers - Author Guidelines for Data
1. Deposit research data in a FAIR-aligned repository, with a preference for those that
explicitly follow the FAIR Data Principles and demonstrate compliance with international
standards for data repositories, (e.g. CoreTrustSeal).
2. A tool to assist in identifying FAIR-aligned repositories is available from DataCite and can
be found at https://repositoryfinder.datacite.org .
3. Cite and link to the data in the article, following the Joint Declaration of Data Citation
Principles and ESIP Guidelines, using the unique, resolvable, and persistent identifiers
provided by the repository in which the data are archived.
4. Include a Data Availability Statement describing how the data underlying the findings of
their article can be accessed and reused.
5. Provide unrestricted access to all data and materials underlying reported findings for
which ethical or legal constraints do not apply.
6. There may be a need to restrict some access to data because of privacy issues, IP rights,
geopolitical tensions or cultural sensitivities (e.g. indigenous land rights).
http://www.copdess.org/enabling-fair-data-project/author-guidelines/

17. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
https://www.elsevier.com/authors/author-services/research-data/data-guidelines/
https://cos.io/our-services/top-guidelines/
Enabling FAIR Data Corresponds to TOP Level II:

18. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
Data Availability Statements:
https://www.elsevier.com/authors/author-services/research-data/data-statement
Benefits for authors and readers:
•Increases transparency
•Allows compliance with data policies .
•Encourages good scientific practice and encourages trust

19. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
Data Citation Principles and Make Data Count:
https://makedatacount.org/
https://www.nature.com/articles/sdata2018259

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Next Steps:
1. Invitation to (Read), Sign and Implement the Commitment Statement
2. See if shared Authoring Guidelines can be supported in your organisation
3. Repository Finder Tool and FAQs can help
4. AGU will be organising training for Publishers:
Shelley Stall, Senior Director AGU Data Leadership
sstall@agu.org

21. ELSEVIER I Enabling FAIR Data: NFAIS Webinar, December 19, 2018
Anita de Waard, a.dewaard@elsevier.com
Thank you!