Application of Data Mining for improving Participative Librarianship: a Brief Study

Data mining helps in analyzing and summarizing different elements of information. Data mining process is a form where in which all the data and information can be extracted for the purpose of future benefit. The data mining system has been designed for librarians to help them manage the library easily. It is relatively new term in the field of library science though it is being used in business organization for a long time. This paper gives an overview of data mining and its use in the field of library science; a process of data mining; advantages of data mining and also the implication of data mining in participative librarianship. Also, discuss the process of bibliomining which is very much useful for analyzing library service

Merchandising et mise en place des collections en bibliothèques de lecture publique

L’application des techniques de marketing à la gestion des bibliothèques est très débattue. En revanche, l’application spécifique des techniques de merchandising est une pratique nettement moins évoquée. Le merchandising est une sous-discipline du marketing qui s’occupe de l’allocation des emplacements et de la présentation des produits sur le point de vente. En bibliothèque, il s’agit donc de développer une démarche marketing pour la mise en espace des documents. Dans ce travail, les principes du merchandising sont transposés pour une application en bibliothèque de lecture publique. Les bibliothèques génèrent une grande quantité de données de circulation et de description des documents : ce travail explore aussi comment ces données de grande qualité peuvent être exploitées et valorisées dans une démarche de merchandising.The application of marketing methods for libray management is a much debated question. On the other hand, the specific application of merchandising methods is less debated. Merchandising is a component of marketing whose concern is the in-store allocation of space for products and their presentation. Hence for public libraries, the idea is to apply a marketing approach specifically centered on space utilization for documents. In this paper, merchandising principles are adaptated for an application in public libraries. Libraries create a lot of circulation datas and document description datas : this paper explores as well how those high quality datas can be used and how they can create value in the perspective of a merchandising approach

Facilitating resource allocation decision through bibliomining: the case of UTM's library

Library has vastly developed and demand from the users, institutions, international organization needs and technology advancement has changed the library planning and decision making approach in many ways including library budgeting, human resource and infrastructure allocations. This research described (a) the investigation undertaken to examine the characteristics of data from data reservoirs regarding user/patron information and circulation information. (b) The information seeking to explore the patterns and trends among these data reservoirs using data mining analysis with about 957,224 borrowing history and overall 31,052 registered readers and 139,195 title author of books from the Universiti Teknologi Malaysia library since 2008 to 2010. (c) To study how constructed patterns and trends generate informed decisions on resource allocation for circulation function by using cluster analysis, frequency statistics, averages and aggregates and market basket analysis algorithm. This thesis highlights the finding of a research using data mining technique (CRISP-DM) to explore the potentials of the bibliographic data of an academic library. With nearly 1 million records of collection in various formats, the Library of Universiti Teknologi Malaysia has been chosen as the case study for the research. The data mining technique was adopted to explore the relationship among statistically patterned and clustered bibliographic data. Bibliomining are tools that can visualize how libraries manage their costs, staff activity, customer service, user needs, marketing, popular books, circulation, reference transaction, quality of collection, educational programs etc. Similar data mining techniques are suggested to be employed in different library settings and even enterprises as to make more effective use of organizational resources

Big data-driven investigation into the maturity of library research data services (RDS)

Research data management (RDM) poses a significant challenge for academic organizations. The creation of library research data services (RDS) requires assessment of their maturity, i.e., the primary objective of this study. Its authors have set out to probe the nationwide level of library RDS maturity, based on the RDS maturity model, as proposed by Cox et al. (2019), while making use of natural language processing (NLP) tools, typical for big data analysis. The secondary objective consisted in determining the actual suitability of the above-referenced tools for this particular type of assessment. Web scraping, based on 72 keywords, and completed twice, allowed the authors to select from the list of 320 libraries that run RDS, i.e., 38 (2021) and 42 (2022), respectively. The content of the websites run by the academic libraries offering a scope of RDM services was then appraised in some depth. The findings allowed the authors to identify the geographical distribution of RDS (academic centers of various sizes), a scope of activities undertaken in the area of research data (divided into three clusters, i.e., compliance, stewardship, and transformation), and overall potential for their prospective enhancement. Although the present study was carried within a single country only (Poland), its protocol may easily be adapted for use in any other countries, with a view to making a viable comparison of pertinent findings

The Digital Reference Electronic Warehouse (DREW) Project: Creating the Infrastructure for Digital Reference Research through a Multi-Disciplinary Knowledge Base

One of the valuable offerings of librarians in the digital age is the human intermediation of information needs. In physical libraries, these reference questions are answered and few artifacts remain from the transaction; therefore, the knowledge created through the work of the librarian leaves with the patron. Due to the medium of communication, digital reference transactions capture the knowledge of information professionals. There are hundreds of digital reference services generating knowledge every day; however, the lack of a schema for archiving reference transactions from multiple services makes it difficult to create a fielded, searchable knowledge base. This schema will also allow researchers to develop tools that practitioners can employ; this will create a collaborative environment for digital reference evaluation. The goal of this work is to outline the steps needed to develop this schema, present the results of a survey of digital reference services, explore some of the pitfalls in the process, and envision the future uses of this Digital Reference Electronic Warehouse (DREW).Informatio

Using Probabilistic Topic Modeling of Library Access Records to Identify Learning Trends in Educational Research

Advances in the architecture of digital library service infrastructure enable the collection of various types of data related to the use of library resources, tools, and services. The Big Data that is being generated provides valuable insight into library operations and has the potential to reshape the future of library work. In this paper, we describe the innovative application of topic modeling (supervised Latent Dirichlet Allocation) of research corpora accessed by patrons through a library proxy server. We found that the underlying topics of this corpus (e.g., psychology, family education, and methodology) converge with the general interests one would expect from a Graduate School of Education. In addition, we discuss the potential and challenges of utilizing library proxy log data in learning analytics research

The Influence of Data Mining in Increasing Benefits of Libraries in Jordanian Governmental Universities

This current study aimed at examining the impact of data mining on increasing benefits of university library in Jordanian governmental university. Researcher adopted techniques of data mining which included (Association, Classification, Clustering, Prediction, Sequential Patterns and Decision Trees). Through employing the quantitative approach and utilizing a questionnaire as a study tool, (412) responded to an online survey which primary data later on was screened and processed using SPSS v. 27th. Results of study accepted the main hypothesis as there appeared an influence of data mining in better organization flow and accumulation of library data and better develop library\u27s services for users. Among data mining techniques, it appeared that (Sequential pattern, decision trees and Prediction techniques) were the most influential techniques on library services followed by librarians in developing library services, this was noticed through the high correlation which connected them to the dependent variable, and the remaining variables also appeared to be positive in influence with a medium correlation. Study recommended to better data mining application by responsible parties within Jordanian universities as there appeared an acceptable level of application; however, the application isn\u27t used to its maximum capacity

Development of Koha library management system: the UTM library experience/ Md Razib Karno ... [et al.]

A library management system that can support the task of the library is cost effective, with inter module integration providing easy access to users is always a choice of any organisation. The capability of a system is integral in supporting effective and systematic learning in line with the advent of future technology. The transition from commercial system to open source KOHA is seen as factors of technology transfer, cost reduction, source code enhancement, big data analysis, innovative culture and less dependency on vendors to strengthen the implementation. This article is the recollection of UTM Library experience in developing its own open source KOHA system by librarian. Implementation of early planning, how data analysis was carried out, infrastructure development, suitable design complementing mapping and migration, implementation of real system and challenges as well as new knowledge gained along the period are documented. Transformation in librarian work culture viewpoint in the capability and direction of the library is obtained with the development of the system