New Features for Organization Information in DSpace with ROR
4Science
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31 slides
Oct 08, 2024
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About This Presentation
In this session, we'll hear about how and why 4Science incorporated ROR, the Research Organization Registry, into both DSpace-CRIS and DSpace 8 in order to improve the quality of organization metadata in both systems.
Size: 6.37 MB
Language: en
Added: Oct 08, 2024
Slides: 31 pages
Slide Content
NEW FEATURES FOR ORGANIZATION
INFORMATION IN DSPACE WITH ROR
www.4science.com
SPEAKER
ANDREA BOLLINI
4Science CTIO
WEBINAR
AGENDA
01
02
03
04
05
TECHNICAL IMPLEMENTATION
LIVE DEMONSTRATION
FUTURE DEVELOPMENTS
INTRODUCTION TO ROR
BENEFITS OF ROR INTEGRATION IN DSPACE
www.4science.com
Introduction to the
Research Organization Registry (ROR)
Dr. Amanda French, ROR Technical Community Manager, Crossref - [email protected]
What is ROR?
ROR, the Research Organization Registry, is a
global, community-led registry of open
persistent identifiers for research organizations.
ROR is an established, trusted, widely adopted,
no-cost service that is becoming a standard in
scholarly communication and scholarly publishing.
ROR for research organizations
DOI for research outputs
ORCID for researchers
Why ROR?
ROR makes information about research
organizations clean, normalized, and easy to
exchange among software systems so that journal
articles, datasets, and other research outputs can
be reliably connected to universities, funders,
companies, laboratories, and other institutions.
Why ROR?
Only ROR offers a free, open, easy, curated,
community-led solution that allows research
organization metadata to travel freely between
scholarly systems.
ROR was one of four finalists for the ALPSP
Innovation in Publishing Award in 2024!
Search and browse ROR records at
https://ror.org/search
ROR currently includes over 110,000 research
organizations from around the world.
All ROR metadata is CC0 and is freely
available as JSON & CSV and via a REST API.
User submits
research in a
system integrated
with ROR
Organization is
selected from a
ROR-powered
controlled list
Shareable
metadata
includes the
ROR ID
Systems use
the ROR ID to
track research
by organization
ROR is designed for research workflows
ROR has what
you need
➔110,000+ records, global coverage
➔Open CC0 data and free REST API
➔Easy to integrate into software systems
➔Multilingual metadata and character sets
➔Organization hierarchies and relationships
➔Fast, accurate, and transparent curation
➔Easy to request changes and additions
➔2-4 weeks to process most requests
➔Built-in mapping to other identifiers
➔Text to ROR ID matching tools
➔Searchable on the web
ROR serves
crucial
functions
➔Collect researcher institutional affiliations
➔Standardize and disambiguate
organization names
➔Enable institutional research intelligence
➔Connect funders to the research they have
funded
➔Make research easier to find
➔Manage institutional Open Access deals
➔Follow national guidance on open
infrastructure
➔Improve affiliation metadata in the global
research ecosystem
Key systems
use ROR
➔Core infrastructure services
◆Crossref
◆DataCite
◆ORCID
➔Knowledge graphs and large indexes
◆Web of Science (Oct 2024)
◆OpenAlex
◆The Lens
◆Europe PMC
➔Repository systems
◆DSpace
◆Dryad
◆Zenodo
◆Figshare
➔Publishing systems
◆Open Journal Systems (OJS)
◆AAAS Science Journals
◆Scholastica
➔… and more!
https://ror.org/community/#adopters
ROR is noncommercial and sustainable
➔ROR is operated as a collaborative initiative by the California Digital
Library, Crossref, and DataCite as part of each organization's
ongoing operational budget.
➔ROR does not depend on grants or on fees, and it cannot be
transferred to a commercial entity.
➔ROR is committed to following the Principles of Open Scholarly
Infrastructure (POSI).
Learn more about ROR
Visit us at ror.org Contact us at [email protected]
Get involved with ROR: https://ror.org/community/#get-involved
THE POWER OF ROR INTEGRATION IN
DSPACE
Creating a more integrated, open, and FAIR repository solution
Enhancing organization metadata management
Overview: This feature introduces the integration of the Research Organization Registry (ROR)
into DSpace 8. ROR provides unique identifiers for research organizations.
www.4science.com
KEY BENEFITS OF ROR INTEGRATION IN
DSPACE
Standardizing the identification of research organizations is essential for organizing and retrieving
research outputs effectively.
Enhanced Metadata Quality: By using ROR as an Organization Data Provider, DSpace 8 improves the
accuracy and quality of metadata mentioning organization (funders, publishers, affiliations)
Improved Discoverability: The ROR integration enhances the discoverability of research outputs by linking
them to standardized organizational identifiers
Interoperability: ROR information is shareable via OAI-PMH and ORCID, increasing interoperability with
other systems and platforms
www.4science.com
ROR in DSpace 8
•Submission Process
•Metadata Mapping
•Search and Discovery
Additional benefits in DSpace-CRIS
TECHNICAL IMPLEMENTATION OVERVIEW
www.4science.com
•ROR as a Live import Data Provider
•Query ROR via the official ROR API v1
ROR IN DSPACE 8 - SUBMISSION PROCESS
www.4science.com
•New metadata fields for
-ROR IDs
organization.identifier.ror
-Parent Organization
organization.parentOrganization
•Configurable mapping via the ror-integration.xml
ROR IN DSPACE 8 - METADATA MAPPING
www.4science.com
•Improved organization name normalization
•Enhanced faceting and filtering
ROR IN DSPACE 8 - SEARCH AND DISCOVERY
www.4science.com
•Creation of missing organization entities
(configurable)
•Linking researcher affiliations, educations
and qualifications to ROR-validated
organizations
•Synchronization of department/unit level
information organization with ORCID
•Interoperable with Datacite (affiliation,
publisher)
ROR IN DSPACE-CRIS
www.4science.com
LIVE DEMONSTRATION
www.4science.com
THE ROAD AHEAD
•Update the mapping to use ROR API v2
•Improve the interoperability out of box: using the ROR iD to
identify funders also in the datacite metadata
•Ensure that the ROR iD is preserved during import of publications
and other entities, if available
•Explore new features that could be added on top of it (?????? search
OpenAlex for other content related to an Organization)
www.4science.com
CONCLUSIONS
•Represents a step forward in standardizing organizational metadata
•Enhanced Data Quality and Integrity
•Ensures consistent and accurate representation of institutional affiliations
•Reduces manual errors and improves overall data reliability
•Boosting Global Visibility and Collaboration
•Facilitates easier discovery of research outputs on a global scale
•Enhances opportunities for inter-institutional collaboration
www.4science.com
www.4science.com
CONCLUSIONS
•Alignment with Open Science Principles
•Supports FAIR (Findable, Accessible, Interoperable, Reusable) data principles
•Contributes to the broader open science ecosystem
•Improved Interoperability Seamless data exchange with external systems (e.g., ORCID, OAI-PMH)
•Empowering Institutional Identity: Strengthens the digital presence of research organizations
•Enables more accurate tracking and showcasing of institutional research impact
•A Step Towards Next-Generation Repository Services
www.4science.com