Harnessing CRIS systems to improve disambiguation of sub-organisational units

Le résumé fourni par la source

Research organisations registries, such as ROR.org, do not provide authoritative persistent identifiers for sub-organisational units such as faculties and departments, hindering reliable linking to research outputs. The OpenAIRE Graph addresses this gap by leveraging Current Research Information Systems (CRIS), which natively model organisation hierarchies using Universally Unique Identifiers (UUIDs), and deduplicating these with ROR.org's root organizations. This presentation demonstrates how the OpenAIRE Graph can perform this integration via OpenOrgs, a service for the deduplication and curation of research organisation metadata. OpenOrgs collects as input organization metadata from institutional CRIS systems and known organization registries, such as ROR.org, PIC IDs from the European Commission, and other funder databases. Institutions can entitle data curators to analyze and adjust the hierarchy of potential duplicates automatically identified by OpenOrgs and therefore curate their organisational structures linking root organizations to major known registries and compensating with local sub-units originating from CRIS systems. As a result, the OpenAIRE Graph can bear unambiguous linking between sub-organisational units and research outputs, powering organisation-unit–level filters in research monitoring tools. With this solution, institutions can analyze Open Access uptake, FAIRness indicators, and other metrics at the faculty or department level, supporting internal assessment and strategic planning.

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