A standardisation model of FAIR data for educational sciences

- Олексюк, Василь Петрович (orcid.org/0000-0003-2206-8447), Спірін, О.М. (orcid.org/0000-0002-9594-6602) and Осадча, К. П. (orcid.org/0000-0003-0653-6423) (2026) A standardisation model of FAIR data for educational sciences Educational analytics of Ukraine, 2 (39). pp. 91-103. ISSN 2616-8532

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Abstract

The growing volume of digital information in scientific and pedagogical research underscores the urgent need for its preservation, indexing, and exchange. The aim of this article is to develop and theoretically substantiate a standardisation model for research data in educational sciences, in accordance with the international principles of findability, accessibility, interoperability, and reusability, collectively known as FAIR data. This study briefly examines international experience in implementing Open Science projects and identifies the specific features of research data within the field of educational sciences. Consequently, an original model was designed, comprising goal-oriented, content-related, procedural, and outcomes-based components. Within the content block, a taxonomy of educational data is developed, data presentation formats are described, and the structure of a standard FAIR data package is proposed. Furthermore, the procedural component of the model outlines the ethical standards mandatory for dataset compilation, the procedures for generating these data, and the infrastructural elements required for their storage. Particular attention is given to the outcomes-based component, for which a system of criteria and indicators has been established to evaluate the compliance of educational research data with FAIR principles. A scale is proposed to classify datasets into four levels of maturity: insufficient, basic, sufficient, and high. The conclusion demonstrates that implementing the developed model and indicator system ensures a transition from the declarative application of Open Science principles to a measurable and technologically integrated data management lifecycle. The implementation of the designed model will enhance the transparency, quality, and reproducibility of educational research.

Item Type:	Article
Keywords:	FAIR principles, research data, educational sciences, data taxonomy, metadata, standardisation, criteria and indicators
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 > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 373 Kinds of school providing general education
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	проф. Василь Петрович Олексюк
Date Deposited:	22 Jun 2026 08:29
Last Modified:	22 Jun 2026 08:29
URI:	https://lib.iitta.gov.ua/id/eprint/749591

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