Unlocking Knowledge through Data Mining: Transforming Library Services with Data-Driven Insights

Ruchi Sinha ()
Additional contact information
Ruchi Sinha: Head Librarian SSR College of Arts, Commerce & Science, Affiliated by Savitribai Phule Pune University Silvassa UT of D.N.H

A chapter in Proceedings of the International Conference on Marching Beyond the Libraries: Talent, Technology, and Transformation (ICMBL 2025), 2026, pp 45-52 from Springer

Abstract: Abstract In the digital age, libraries are producing previously unheard-of amounts of data from digital repositories, online databases, electronic resources, and user interaction logs. Effectively using this data is now essential for boosting user experience, generating better decisions, and maintaining libraries as centers of innovation. Finding hidden patterns, connections, and useful insights in big datasets is made possible by data mining, an advanced analytical technique. The use of data mining in libraries is examined in this research, with an emphasis on how it improves services, aids in the creation of collections, maximizes resource use, and promotes individualized learning. Emerging trends, advantages, and difficulties of data-driven techniques are highlighted in the paper through a thorough literature survey and conceptual analysis. The paper also critically examines challenges, including data privacy, technological infrastructure, and the digital divide, while offering strategic recommendations for sustainable implementation. By integrating data-driven insights with library practices, the research emphasizes that libraries can move beyond passive service delivery to proactive knowledge facilitation, thus paying a transformative role in the knowledge society. The findings indicate that, while data mining offers transformative opportunities such as predictive analytics, recommendation systems, bibliometric mapping, and user behaviourmodelling, challenges related to privacy, technical expertise, and infrastructure remain significant. The paper concludes by proposing a strategic framework for the integration of data mining in libraries, ensuring that libraries evolve into proactive, data-driven service providers in the 21st century knowledge economy.

Keywords: Data Mining; Library Services; Artificial Intelligence; Electronic Resources; Transformative Opportunities; Data Driven (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-614-2_6

Ordering information: This item can be ordered from
http://www.springer.com/9789462396142

DOI: 10.2991/978-94-6239-614-2_6

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().