OVERVIEW OF AVAILABLE DIGITAL SERVICES FOR STORING AND PROCESSING FAIR DATA IN THE FIELD OF EDUCATIONAL SCIENCES
DOI:
https://doi.org/10.32782/2412-9208-2026-1-357-368Keywords:
FAIR data, open science, digital repositories, educational sciences, metadata, research reproducibilityAbstract
The rapid development of digital technologies and the large-scale adoption of open science principles have significantly transformed approaches to scientific data management across all fields of knowledge, including the educational sciences. In this context, the FAIR principles (Findable, Accessible, Interoperable, Reusable) are becoming an international standard for proper research data management. As an interdisciplinary field, educational sciences generate diverse data, ranging from the results of pedagogical experiments and standardised questionnaires to educational analytics, video recordings of the educational process, and digital traces from distance learning platforms. The article reveals the content of each of the four FAIR principles in the context of the specifics of educational research: data findability using industry metadata standards, accessibility taking into account the requirements for the protection of personal data of participants in the educational process, interoperability based on standards, and reuse, which involves the provision of code books, tools, and a detailed description of the research context. Based on a systematic analysis, a comparative review of four leading general scientific repositories was conducted: Zenodo, Figshare, OSF (Open Science Framework) and Dryad. For each service, the key functionalities, terms of use, supported data formats, mechanisms for assigning DOI identifiers, access level settings, integration with other platforms and scientific publishers, as well as specific advantages and limitations in the context of pedagogical research, are provided, along with a generalised comparison. It is argued that the choice of digital service should be made with consideration of the type of research, the requirements of the funder, the required level of personal data protection, and the planned method of material reuse.
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