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The purpose of this paper is to know-how the university libraries are managing online databases, especially from the Maharashtra state of India. The focus is to study the difficulties and challenges faced by the university librarians.

In this descriptive research, survey of 15 university libraries was conducted. Seven universities are subscribing online databases apart from databases accessible under national consortia. A comprehensive questionnaire comprised of 16 sections and total 47 questions was designed for data collection. Personal contacts helped to a great extent to get back the questionnaire.

The study revealed that the university librarians are trying to cope up with the management of electronic resources. Major challenges are unawareness about the life cycle of electronic resources, lack of standard procedures, collection development and preservation policies, failed to conduct user information need surveys, negotiation skills, competencies of staff and so on.

The scope of the present research was to study the current practices of management of online databases subscribed by the university libraries in Maharashtra. Other types of electronic resources were not considered in the present study. It was found that out of 15 universities only seven universities subscribe the online databases apart from the databases provided by UGC-INFONET. Therefore, the data from these seven libraries were considered for analysis.

This study will provide the guidelines for managing online databases in academic libraries.

Very few studies are conducted to study the management of online databases by university librariesin India.

The purpose of this paper was to analyse text mining (TM) literature indexed in the Web of Science (WoS) under the “Information Science Library Science” subcategory. More specifically, it analyses the chronological growth of TM literature, and the major countries, institutions, departments and individuals contributing to TM literature. Collaboration in TM research is also analysed.

Bibliographic and citation data required for this research were retrieved from the WoS database. TM being a multidisciplinary field, the search was restricted to “Information Science Library Science” subcategory in the WoS. A comprehensive query statement covering all synonyms of “text mining” was prepared using the Boolean operator “OR”. Microsoft Excel and HistCite software were used for data analysis. Pajek and VoSviewer were used for data visualization.

It was found that USA is the major producer of TM research literature, and the highest number of papers were published in the Journal of The American Medical Informatics. Columbia University ranked first both in number of articles and citations received in the top ten institutes publishing TM literature. It was also observed that six of the top ten subdivisions of institutions are either from medicine or medical informatics or biomedical information. H.C. Chen and C. Friedman were seen to be the most prolific authors.

The paper analyses articles on TM published during 1999-2013 in WoS under the subcategory Information Science Library Science’.

The paper is based on empirical data exclusively gathered for this research.