The FAIR principles as the foundation of research infrastructure: a literature review of models for various research fields

- Осадча, К. П. (orcid.org/0000-0003-0653-6423) (2026) The FAIR principles as the foundation of research infrastructure: a literature review of models for various research fields Міжнародний науковий журнал «Університети і лідерство» (21). pp. 65-79. ISSN 2520-6702

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Abstract

This article analyses recent research on the implementation of the FAIR principles, which are becoming a cornerstone of research infrastructure. As a result, it has been established that, in the field of education, there are still no common guidelines for fair management and handling of educational data in accordance with the FAIR principles. At the same time, there are examples of FAIR data models for various fields of research that could serve as a basis for developing such a model for scientific research in the field of education. Therefore, the aim of this article is to analyse existing FAIR data models across various scientific disciplines, compare their approaches, and identify common features and limitations that affect the discoverability, accessibility, interoperability and reusability of data. To achieve this aim, analytical and systematic approaches were employed, bibliometric and content analysis, an interpretative method for studying foreign FAIR data models in various scientific fields, a generalisation method for summarising the results of scientific research, methods of systematisation and classification, and structural-functional analysis. As a result of analysing articles in the Scopus and Web of Science databases describing existing FAIR models in various scientific fields, general and sector-specific models have been identified. General models (the FAIR data maturity model, the flexible metadata model) have been developed and can be applied (extended, interpreted) to research in any field, whilst domain-specific models are tailored to a specific scientific discipline. As a result, we identified the following examples of sector-specific models that integrate FAIR principles: a conceptual model of reproducibility and a data model for compiling harmonised databases (ecology), a semantic (ontological) model for representing metadata and its schemas (meteorology), a conceptual structure for documentation (cystoscopy), a digital journalism data model (journalism), a conceptual model for FAIR Digital Objects (information systems), SOLICIT (non-communicable diseases), HL7 FHIR (medicine), an adaptive and normative framework for FAIR metadata for UAVs (military sciences), a data management workflow framework (biology), a data management framework and metadata structure for educational materials (education). The identified sectoral models do not contradict one another but rather form a broad ecosystem of various sciences.

Item Type:	Article
Keywords:	FAIR, educational sciences, data model, standardisation, scientific research
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 001 Science and knowledge in general. Organization of intellectual work > 001.8 Methodology > 001.89 Organization of science and scientific work Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.4 Software > 004.45 System software Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.5 Human-computer interaction. Man-machine interface. User interface. User environment Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 378 Higher education. Universities. Academic study
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	пров.н.с. Катерина Петрівна Осадча
Date Deposited:	03 Jun 2026 12:12
Last Modified:	03 Jun 2026 12:12
URI:	https://lib.iitta.gov.ua/id/eprint/749320

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