Monitoring FAIR Compliance of a Research Institution’s Web Resources: From Data to Management Decisions

- Кільченко, А.В. (orcid.org/0000-0003-2699-1722) and Ткаченко, В.А. (orcid.org/0000-0003-4028-4522) (2026) Monitoring FAIR Compliance of a Research Institution’s Web Resources: From Data to Management Decisions In: Автоматизація та комп’ютерно-інтегровані технології – 2026: Матеріали ХІІ Міжнар. наук.-практ. конф. мол. учених, аспірантів і студ. (АКІТ – 2026), 07 травня 2026 р . «Політехніка», м. Київ, Україна, pp. 81-82.

Text Kilchenko A.V., Тkachenko V.A._AKIT-2026_С. 81-82.pdf - Published Version Download (253kB)

Abstract

This article analyzes the monitoring of FAIR compliance for a research institution’s web resources: from data to management decisions. Thanks to its event-based data model, the Google Analytics 4 platform serves as an effective monitoring tool and a foundation for decision-support systems aimed at optimizing web resources and improving their FAIR compliance. Unlike traditional web analytics, which focused on sessions (visits) and provided only a quantitative picture, Google Analytics 4 is event-driven, allowing for the assessment of the quality of interaction with scientific content according to four principles: Findable, Accessible, Interoperable, Reusable. Thus, using Google Analytics 4 allows a research institution to move beyond passive data collection. It is a tool for objectively monitoring the implementation of open science principles. The implementation of FAIR-compliance analysis methods based on web analytics provides an evidence base for making management decisions aimed at increasing the visibility and impact of domestic scientific research worldwide.

Item Type:	Book Section
Keywords:	Monitoring, FAIR principles, research institution websites, Google Analytics 4, management decisions
Subjects:	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 Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education > 37.01/.09 Special auxiliary table for theory, principles, methods and organization of education Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 5 Мathematics. natural sciences Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 6 Applied Sciences. Medicine. Technology > 62 Engineering. Technology in general
Divisions:	Institute for Digitalisation of Education > Department of Open Education and Scientific Information Systems
Depositing User:	науковий співробітник Алла Віленівна Кільченко
Date Deposited:	24 May 2026 10:38
Last Modified:	24 May 2026 10:38
URI:	https://lib.iitta.gov.ua/id/eprint/749270

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