EXPANDED SELECTING CRITERIA OF RESEARCH DATABASES FOR UNIVERSITY LIBRARIES

Access to valuable scientific and educational resources is an important aspect of the effectiveness of the educational process. Depending on their financial capabilities, academic libraries subscribe to various databases of the world's leading publishers. It is very important to evaluate certain databases in order to select the necessary sources of information for educational and scientific activities. The purpose of the article is to determine the most important criteria for evaluating scientific and educational databases in academic libraries based on a survey conducted among teachers and students of technical universities of the Republic of Uzbekistan. The key criteria are content relevance, thematic coverage, usability, accessibility, technical specifications, licensing models, and scalability to meet future needs. The study emphasizes the importance of aligning database selection with institutional research priorities, user accessibility requirements, and emerging fields of study. Additionally, the role of open-access resources, interdisciplinary content, and vendor support in decision-making is analyzed. By developing a comprehensive framework for database evaluation, this article provides valuable insights for librarians and academic institutions seeking to optimize their resource offerings and support diverse research endeavors.

Authors

Institutions

Publication Details

Journal
Environment Technology Resources Proceedings of the International Scientific and Practical Conference
Published
2025-06-08
DOI
https://doi.org/10.17770/etr2025vol2.8593
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

EXPANDED SELECTING CRITERIA OF RESEARCH DATABASES FOR UNIVERSITY LIBRARIES

Sherbek Normatov, Sarvinoz Berdibekova, Marat Rakhmatullayev, Mekhriniso Qudratova et al.
Environment Technology Resources Proceedings of the International Scientific and Practical Conference
Big Data and Business Intelligence
article

EXPANDED SELECTING CRITERIA OF RESEARCH DATABASES FOR UNIVERSITY LIBRARIES

Sherbek Normatov, Sarvinoz Berdibekova, Marat Rakhmatullayev, Mekhriniso Qudratova, Lаylо Sаyfiеvа
article en

Abstract

Access to valuable scientific and educational resources is an important aspect of the effectiveness of the educational process. Depending on their financial capabilities, academic libraries subscribe to various databases of the world's leading publishers. It is very important to evaluate certain databases in order to select the necessary sources of information for educational and scientific activities. The purpose of the article is to determine the most important criteria for evaluating scientific and educational databases in academic libraries based on a survey conducted among teachers and students of technical universities of the Republic of Uzbekistan. The key criteria are content relevance, thematic coverage, usability, accessibility, technical specifications, licensing models, and scalability to meet future needs. The study emphasizes the importance of aligning database selection with institutional research priorities, user accessibility requirements, and emerging fields of study. Additionally, the role of open-access resources, interdisciplinary content, and vendor support in decision-making is analyzed. By developing a comprehensive framework for database evaluation, this article provides valuable insights for librarians and academic institutions seeking to optimize their resource offerings and support diverse research endeavors.

Environment Technology Resources Proceedings of the International Scientific and Practical ConferenceVol. 2
Tashkent University of Information Technology (UZ)
Openalex Percentile: Top 78%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

EXPANDED SELECTING CRITERIA OF RESEARCH DATABASES FOR UNIVERSITY LIBRARIES — Sherbek Normatov, Sarvinoz Berdibekova, et al. · Environment Technology Resources Proceedings of the International Scientific and Practical Conference (2025) | TGRS Research Map | TGRS