ANALYSIS OF INSTITUTIONAL REPOSITORIES AND LIBRARY SYSTEMS FOR STORING AND PROCESSING FAIR DATA IN EDUCATIONAL SCIENCES
DOI:
https://doi.org/10.34142/2312-1548.2026.66.04Keywords:
FAIR data, institutional repository, library systemAbstract
The development of open science and the need to standardize research data management highlight the problem of assessing the compliance of digital platforms with the FAIR principles (Findable, Accessible, Interoperable, Reusable). For educational sciences, this issue is particularly significant: a bibliometric analysis of 133 publications retrieved from the Scopus database as of April 8, 2026, revealed the absence of educational terminology in the keyword co-occurrence network of FAIR data research discourse, indicating insufficient attention to this problem in the pedagogical context. To achieve the research aim, a comparative analysis of seven digital platforms – institutional repositories (DSpace, EPrints, Invenio RDM, Fedora/Samvera, Greenstone) and library systems (Koha, Ex Libris Alma/Primo) – was conducted using an adapted criteria matrix based on F-UJI principles and a three-level compliance scale for each FAIR principle. Among the analyzed platforms, Invenio RDM demonstrates the highest compliance level (12/12) due to native DataCite support, OpenAPI 3.0 standard, machine-readable SPDX licenses, and alignment with OpenAIRE and EOSC guidelines. DSpace and EPrints provide a medium compliance level (8/12), supporting Handle identifiers, OAI-PMH, and Dublin Core, but with limited implementation of Interoperable and Reusable principles. Fedora/Samvera offers a flexible semantic architecture (11/12) but requires significant technical resources for deployment; Greenstone remains a solution for offline environments with minimal FAIR compliance (4/12). Library systems partially satisfy FAIR requirements: Koha primarily through MARC 21 and Z39.50 (7/12), Ex Libris Alma/Primo through BIBFRAME, Schema.org, and DataCite support (11/12), though full Reusable compliance for both requires integration with repository platforms. The study establishes that FAIR compliance level is determined not by the platform licensing type but by the depth of metadata standards integration, persistent identifier support, and machine interoperability mechanisms. Ukrainian educational institutions are recommended to modernize existing DSpace repositories with DataCite integration, while migration to Invenio RDM is identified as a promising direction for developing FAIR data infrastructure in educational sciences.
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