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Digital data sets management in university libraries: challenges and opportunities
PurposeThe study aims to identify the prospects and challenges associated with current practices regarding digital data sets management in university libraries in Pakistan.Design/methodology/approachA cross-sectional survey approach was used to collect the data from library and information science (LIS) professionals working in public sector university libraries in Pakistan. A four-part questionnaire was used to collect the data from the respondents. The collected data from 371 participants were analyzed using a statistical package for social sciences (SPSS-24 version) and analysis of moment structure (AMOS-24).FindingsLIS professionals are better placed to support digital data management practices, such as finding, collecting, assessing and analyzing digital data sets and making digital data publicly discoverable and accessible via open access. In spite of this, a lack of leadership support, interest and cooperation among university departments and the absence of a data management plan, policies and procedures were reported as significant challenges.Practical implicationsTo meet the needs of data users, LIS professionals must become knowledgeable about managing and reusing digital data sets. Due to the demands of the information society, university librarians need to learn about data-centric practices that can enhance research outputs and provide new insights.Originality/valueThis research paper is extracted from a PhD dissertation to present a contemporary picture of library data management services and the challenges LIS professionals face to provide possible solutions.
Journal Article
Birth and Development of Data Librarianship
Data librarianship and the role of the data librarian are an established reality in many countries, even though at different levels. Particularly, academic librarians have been involved in research data management for a long time and this role is acquiring precise features. In Italy, the data librarian is a figure still to be built and defined. The aim of the article is to offer a first systematic exploration in the fields of data librarianship and the role of the data librarian, both in their practical (what activities) and methodological (how activities are performed) features. The hope is to encourage the beginning of a necessary reflection on these topics. [Publisher's text]
Journal Article
Databrarianship : the academic data librarian in theory and practice
Drawing on the expertise of a diverse community of practitioners, this collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship.
eBook
Technology for small and one-person libraries
A technology guide for librarians, library staff, and administrators working at small and one-person libraries serving populations of 15,000 or less, who have little experience managing or implementing technology but have a desire to do so. This guide provides basic, practical information on a variety of technology-related topics and will be useful to those working in libraries with limited resources.
eBook
Data Science in the Library
This book explores the rapid expansion of data sources, visualizations, and analytics created in the last decade and explores the strategies, tools, and approaches that educators and information specialists are employing to train a new generation of data professionals.
eBook
Library automation in transitional societies : lessons from Eastern Europe
This is a collection of papers from a 1997 conference that attempted to assess the Andrew W. Mellon Foundation's efforts to modernize Eastern European libraries after the fall of communism. Looking primarily at Hungary, Poland, the Czech Republic, and Slovakia, the international panel of contributors cover library automation, library policy, and management strategy.
eBook
Data Clean-Up and Management
Data use in the library has specific characteristics and common problems.Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications.
eBook
Knowledge Representation of digital Hermeneutics of archival and literary Sources
Scholarly analysis of archival, library, and literary sources results in a variety of digital artefacts meant to foster knowledge discovery and new research enquiries. Guidelines and standards to formally represent disciplinary information are available (e.g. XML schemas, ontologies, vocabularies). However, digital artefacts rarely address reusable structured information on the hermeneutical approach adopted by scholars when validating hypotheses. As a consequence, reproducibility and assessment of research results is hampered, and comparing online contradictory information is still a hard task. In this work we show how to leverage Semantic Web technologies in a high-level, portable data model for representing hermeneutical aspects related to cross-disciplinary analysis of archival and literary sources. We showcase three representative scenarios in the Cultural Heritage domain where the model is applied, and we describe benefits and limits of our solution. [Publisher's text]
Journal Article