The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
Identifiers for Researchers and Data: Increasing Attribution and Discovery– John Kaye
1. ODIN –
ORCID and DataCite Interoperability Network
Association of Librarians and Information
Professionals in the Social Sciences
July 2013
John Kaye – British Library
Funded by The European Union Seventh Framework
Programme
www.odin-project.eu
4. Identifers
• Uniquely identify Research
Objects
• Archival Research Key’s
(ARK’s)
• International Standard
Book Numbers (ISBN’s)
• Uniform Resource
Locators (URL’s)
• Institutional and other ID’s
5. People Identifers
• Uniquely identify
people
• Open Researcher
and Contributor ID
(ORCID)
• International
Standard Name
Identifier (ISNI)
• Country Based
ID’s
11. ODIN Objectives
• We want to support development and stimulate adoption
of interoperable identifiers for:
• Researchers
• Inputs (cited work, data)
• Outputs (publications and data)
• We aim to facilitate information flow within and between
research communities, leading to greater re-use of data
and exploitation of the knowledge created.
12. ODIN Challenges
Accessibility: seamlessly access datasets used in a journal article, a
grant report, or another scholarly artefact
Discovery: identify scholarly works or datasets related to each other
either through networks of references and citation or through shared
contributors
Interoperability: connect datasets and contributors across
independent platforms using different, but interoperable identifier
schemes.
Sustainability: ongoing viability of the systems that provide and
maintain persistent identifiers.
13. ODIN Work Streams
• Proofs of Concept in Humanities and
Social Science and High Energy Physics
• Interoperability
• Strategy
• Internationalisation
14. ODIN Developments
• Developed from work carried out in Interoperability Work Stream
• Based on CrossRef Import Tool
• Searches DataCite Metadata store and allows users to import
datasets into their ORCID Profile
• http://datacite.labs.orcid-eu.org/ - Feedback welcome!
16. HSS: Birth Cohort Studies
• Why Birth Cohort Studies?
• Investment
• Established/Long history
• Tradition of data curation
• Multiple Data Providers
• High Re-use
• Derived Data
• Multi-disciplinary
• BL Involvement in CLOSER (Cohort and Longitudinal
Studies Enhancement Resource)
17. HSS: Objectives
• 1st
Year: Preliminary conceptual models for connecting
data creators, curators, contributors and data sets will be
described
• 2nd
Year: Concrete workflows will be designed and
developed
• The development of such workflows will be done in
strong collaboration with the relevant stakeholders in
the community
18. HSS: Approach
• Technical work – http://odin-discover.eu/
• Conversations and Interviews:
• Cohort Study Teams
• UK Data Service
• International Data Providers
• Visit from Australian Data Archive
23. Workflows
• Consult with Data Centres and providers to see where identifiers fit
in their workflows
• Assigning roles and names
• Assigning identifiers to new datasets
• Assigning identifiers to exsiting datasets
• How to integrate identifiers into DDI
• Push more metadata into DataCite
• Provide feedback to datacentres
• ‘Nudge’ researchers to cite data properly
26. HSS Next Steps
• 1st
Year report due in August 2013
• Year 2 HSS tasks
• Work with National Survey for Health and Development to implement workflows
• Encourage social science data providers to adopt people ID’s
• Provide feedback tools for data providers
• Look at assigning ORCID’s to other metadata – Ethos
• Linking bibliographic citation data for Impact tracking and enhanced discovery
• Explore commonalities with High Energy Physics
28. Current status (I)
HEP (High-Energy Physics) field specificities:
• Multiversioning: from preprint versions until final
publications
• Hyperauthorship: hundreds/thousands of scientists signing
the same article
• Data levels of abstraction (CERN, Inspire, HEPData)
• Different publication spaces (arXiv, Inspire, publishers)
Challenges:
• Author identification, improvement of the disambiguation
process done in place
• Uniquely associate articles/datasets with authors/contributors
• Version management during the long publication process
30. High Energy Physics (HEP)
Current Inspire interface
Disambiguation process
among thousands of authors:
Names and affiliations
Different ways to write the
same information
Clustering algorithm
31. ODIN Next Steps
• Reports available in Summer 2013
• 1st Year Event and Codesprint @ CERN 15th
- 17th
October 2013
• http://datacite.labs.orcid-eu.org/ - Feedback welcome!
• Input into and Social Science Proof of Concept,
workflows etc. please contact us!
32. Thank you!
John Kaye – Lead Curator Digital Social Sciences
The British Library
96 Euston Road
London NW1 2DB
john.kaye@bl.uk
Twitter: @johnkayebl
Telephone: 020 7412 7450
Project Website http://odin-project.eu/
BL Social Sciences Blog http://britishlibrary.typepad.co.uk/socialscience/