METHOD FOR ASSESSING THE RELEVANCE OF AN INFORMATION RESOURCE OF AN AUTOMATED SYSTEM

M. A. Prokhorov

Abstract


The relevance of an information resource in an automated system for information support for scientific research is defined as a key quality characteristic. A quantitative measure of information resource relevance - the probability of timely publication of scientific information materials - is proposed, and an algorithm for calculating its assessment is presented. The obtained results support decision-making in
developing strategies and tactics for rational management of an information resource, taking into account the dynamics of the flow of   its constituent materials.


Keywords


information resource; information support for scientific research; information resource quality; information resource relevance; timeliness of publication; information resource management

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References


Kalenov N.E., Sotnikov A.N. Common Digital Space of Scientific Knowledge as an Integrator of Polythematic Information Resources. Doklady Mathematics, 2024, vol. 109, no. 1, pp. 93–99. DOI: 10.1134/S106456242470176X

Golosovsky M.S., Bogomolov A.V., Tobin D.S. Algorithm for Setting Fuzzy Logical Inclusion Systems Based on Statistical Data. Automatic Documentation and Mathematical Linguistics, 2023, no. 1, pp. 1–9. DOI: 10.3103/s0005105523010028

Novikov D.A., Gubanov D.A. Analysis of the Terminological Structure of Control Theory. Control of Large Systems: Collection of Papers, 2024, no. 110, pp. 181–210. (in Russian)

Prokhorov M.A. Life Cycle Model and Properties of the Information Resource of the Automated System. Journal of Computational and Engineering Mathematics, 2025, vol. 12, no. 1, pp. 44–52. DOI: 10.14529/jcem250105

Maksimov I.B., Stolyar V.P., Bogomolov A.V. Applied Theory of Information Support for Medical and Biological Research, Moscow: Binom, 2013. 312 p. (in Russian)

Prudnikov S.I. Big Data Processing in Special-Purpose Decision Support Systems. Bulletin of Tula State University. Technical Sciences, 2023, no. 5, pp. 48–52. DOI: 10.24412/2071-6168-2023-5-48-49 (in Russian)

Artemenko V.B., Bezdeneshny I.V., Vasiletsky Yu.L. Military-scientific information system of the Armed Forces of the Russian Federation: Yesterday, Today, Tomorrow. Armament and Economy, 2022, no. 3 (61), pp. 143–158. (in Russian)

Prokhorov M.A. Analysis of the State of Information Support of Automated Systems. Bulletin of Tula State University. Technical Sciences, 2024, no. 8, pp. 327–330. DOI: 10.24412/2071-6168-2025-8-195-196 (in Russian)

Prokhorov M.A., Bogomolov A.V. Model of Information Resource of Automated System of Information Support of Scientific Research. Scientific and Technical Information Processing, 2025, vol. 52, pp. 278–284. DOI: 10.3103/S0147688225700650

Prokhorov M.A. Methodological Aspects of Quality Management of the Information Resource of an Automated System. Bulletin of Tula State University. Technical Sciences, 2024, no. 9, pp. 389–392. (in Russian)

Prokhorov M.A., Tobin D.S., Zlobin R.S. Model of Filling the Information Resource of an Automated System. Scientific and Technical Information. Series 2: Information Processes and Systems, 2025, no. 1, pp. 21–25. DOI: 10.24412/2071-6168-2024-9-389-390 (in Russian)

Aliev T.I. Fundamentals of the Methodology of Discrete Systems. St. Petersburg, SPbSU ITMO, 2009. 363 p. (in Russian)

Kleinrock L. Queueing Theory. Vol. 1. N.J., Wiley, 1975, 360 p.

Kosyakov E.N., Kvasov M.N. Method for Assessing the Efficiency of Connecting a Backup Satellite Channel when the Main Communication Lines Fail. Bulletin of Tula State University. Technical Sciences, 2018, no. 6, pp. 236–242. (in Russian)


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