This document summarizes the work of the FAIRsharing project, which maps databases, standards, and policies to assess and improve their FAIRness. FAIRsharing aims to increase guidance for users and visibility for producers of these resources. It provides a registry of over 500 curated records describing digital assets. FAIRsharing also works to enable the FAIR principles by ensuring these resources are findable, accessible, interoperable, and reusable. Users are encouraged to claim records, provide feedback, and formally cite resources to support these goals.
Pests of mustard_Identification_Management_Dr.UPR.pdf
FAIRsharing - Mapping the Landscape of Databases, Repositories, Standards and Data Policies
1. Peter McQuilton PhD,
FAIRsharing Project Coordinator
Oxford e-Research Centre,
Dept. Engineering Science,
University of Oxford
@drosophilic
Practical ontology applications, tooling and interoperability best practices for FAIRification. #Biocuration2019 Cambridge, UK
Mapping the landscape of databases,
standards and policies (describing, linking and
assessing their FAIRness)
2. A FAIR-supporting resource that provides a registry on data
standards, repositories and policies, alongside search
and visualization tools and services that interoperate with
other FAIR-enabling services
3. Our mission is to increase:
• guidance to consumers of standards, databases, and data policies, to
accelerate the discovery, selection and use of these resources; and
• producer satisfaction in terms of resource visibility, reuse, adoption and
citation
4. Mapping the landscape of standards, databases,
repositories and data policies
Data policies
by funders, journals and
other organizations
Databases and
data repositories
Community standards,
focusing on metadata and identifier schemas
Formats Terminologies Guidelines Identifiers
IDModels/Formats =
Conceptual model,
conceptual schema,
exchange formats
Terminologies =
ontologies, controlled
vocabularies, thesauri,
etc.
Guidelines = Minimum
information reporting
requirements, checklists
Identifiers =
unambiguous, persistent
and context-independent
identifier schema
Metrics
IDMetrics = qualitative
or quantitative
measurements that
assess a feature of
an object
5. 270
48
23
2
97
87 4
204
9 6 8
Ready for use, implementation, or recommendation
In development
Status uncertain
Deprecated as subsumed or superseded
All records are manually curated
in-house and verified by the
community behind each resource
Community verified status indicators
10. Ensures that standards, databases, repositories, policies are:
• Findable, e.g., by providing DOIs and marking up records in schema.org,
allowing users to register, claim, maintain, interlink, classify, search and
discover them
• Accessible, e.g., identifying their level of openness and/or licence type
• Interoperable, e.g., highlighting which repositories implement the same
standards to structure and exchange data
• Reusable, e.g., knowing the coverage of a standard and its level of
endorsement by a number of repositories should encourage its use or
extension in neighbouring domains, rather than reinvention
FAIRsharing enables the FAIR principles
FAIR principles DOI: 10.1038/sdata.2016.18
11. • FAIRsharing works with FAIR assessment tools to serve as:
• Registry to describe digital assets, such as databases/repositories, standards,
policies, enhancing their discoverability (schema.org), citability (DOIs)
• Look up service for identifier schemas and standards
• Validation service against metadata standards (planned)
FAIRsharing underpins the FAIR metrics
by FAIRmetrics.org by NIH Data Commons
12. How you can help us:
• Claim the record(s) for your resource(s)
• Tell us what’s missing
How we can help you:
• Use FAIRsharing to store and publicise the
metadata surrounding your resource
• Use FAIRsharing to find the appropriate
standards for your work
• Formally cite these resources using their
record DOI and the ‘how to cite this record’
statements provided
• Use FAIRsharing to assess the FAIRness
of your resource
FAIRsharing and you
13. Philippe Rocca-Serra, PhD
Senior Research Lecturer/Cofounder
Massimiliano Izzo, PhD
Research Software Engineer
Peter McQuilton, PhD
Project Coordinator
Allyson Lister, PhD
Knowledge Engineer
Melanie Adekale, PhD
Biocurator (Contract)
Delphine Dauga, PhD
Biocurator (Contract)
Susanna-Assunta
Sansone, PhD
Associate Professor,
Associate Director
Ramon Granell
Research Software and
Knowledge Engineer
Dominique Batista
Research Software and
Knowledge Engineer
Milo Thurston, DPhil
Technical Coordinator
Advisory Board
Funding
The Team
https://fairsharing.org/communities