Research Data Management in Academic Libraries : Landmarks and Uncertainties (original) (raw)
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Research Data Management and University Libraries: An Overview
Proceedings of the International Conference on Emerging Digital Library Platforms Shaping Digital Transformation and National Data Exchange by DRTC & ISI, Bangalore., 2022
Research Data Management is a major challenge for university libraries. Vast quantities of born-digital data are being produced in a wide variety of forms at a rapid rate in universities. Seeking information is of the great key for both researchers and university librarians and for that matter getting data plays a key role. The act of planning, collecting, processing, sharing, preserving, reusing, and managing of data with respect to research data is of the spirit in our current system of retrieving information. This has been made possible by the collaboration with information communication and technology for both researchers and university librarians. Scholars are now producing, disseminating and storing digital data in much larger volume than the text. Management of research data is a major challenge for many universities. The study reveals that data management policies are formulated for university libraries and their services with some degree of success.
Managing Research Data in Academic Institutions: Role of Libraries
2015
One of the global emerging trends in academic libraries is to facilitate the management of research data for the benefit of researchers and institutions. The purpose of this paper is to explore the role of a library in offering such research data management services. The paper discusses the importance of research data, its preservation, organization, dissemination and critical role in the scholarly research life cycle. The authors attempt to provide a vivid description of Research Data Management (RDM) as a service and in the process review the existing literature on the topic in addition to the indicating the tools and technologies that could be adopted in successful RDM service implementation. The paper also is an attempt to share the experience of creating the Vikram Sarabhai Library's research data repository that was developed by adopting the open source software-CKAN.
RESEARCH DATA MANAGEMENT : A NEW ROLE FOR ACADEMIC/RESEARCH LIBRARIANS
The role of the academic libraries is to collect, preserve, and disseminate the intellectual output. This output today includes printed as well as the digital versions of the same. Scholars are now producing, storing, and disseminating digital data in much larger volumes than the text. The continued existence and access of this data is an issue since the data is not stored in libraries. It is therefore crucial to preserve data for future generations. The experience which librarians have related to cataloguing, indexing and organizational skills coupled to those acquired in developing, establishing and maintaining institutional repositories, is appropriate for academic librarians to explore their role as research data managers in collaboration with the other information specialists. This paper tries to delineate the emerging role of the librarian in Research Data Management.(RDM)
A Selective Review of Literature on Research Data Management in Academic Libraries
DESIDOC Journal of Library & Information Technology
The present paper dwells on Research Data Management (RDM), its need, importance, the behaviour of the researchers in different disciplines towards data sharing and the role of libraries in extending data management services. The policies of publishers and funding bodies for sharing research data have also been described. It underlines that the library professionals should have a comprehensive understanding of the emerging issues, trends and challenges about the research data management to deploy appropriate services for the researchers. It highlights various resources on research data management, which may serve as guidelines for library professionals and researchers. The study will prove beneficial to library professionals and inspire them to extend RDM services in their organisations The paper concludes by advocating that the library professionals must update and upskill themselves with new trends, tools and techniques to provide RDM services. They should sensitise researchers to...
Research Data Management Practices in University libraries: A study
DESIDOC Journal of Library & Information Technology, 2017
IntroductIon Research data is the data which is generated when the researchers undertake or execute any research activity or project. The research data is generated across all fields of study, sciences, social sciences and humanities; but it differs across all these disciplines. The data may be textual, quantitative, qualitative, images, recordings, musical compositions, verbal communication, experimental readings, simulations, codes and so on. The funding bodies and many international publishers have mandated that the researchers must submit their raw data which they have generated and used to report their research findings. They advocate that research data be deposited to open access data repositories for others to access, browse, use and validate the reported research. The dataset repositories use specialised metadata for describing research data which facilitates their easy discovery, access, and use. Furthermore, the funding bodies have mandated that the grant applicants should clearly define their data management plans (DMP) while submitting their proposals for grants. Libraries have always played a proactive role, and influenced and shaped the scholarly communication. In this context, the present paper attempts to study the research data management (RDM) practices adopted by the central universities in India. It has also dwelt upon the practices followed by the leading universities of the world.
Research Libraries and Research Data Management within the Humanities and Social Sciences
2015
Introduction to the project Lund University and its library organization-a short description Research methods 2. Background and previous research and investigations 2.1 Research data management USA Europe United Kingdom Sweden Research infrastructures in Sweden RDM at Swedish universities 2.2 Research management in practice-processes and tools Processes and models for research data management Research data life cycle, University of Virginia The data life cycle, Inter-university Consortium for Political and Social Research (ICPSR) Tools for the support of data management plans 2.3 Research data management and libraries
Vjesnik bibliotekara Hrvatske, 2022
Purpose. Open Science entails research reproducibility, with an emphasis on data sharing and reuse. Hence, research data management (RDM) is an essential asset in research institutions for supporting open science. This study off ers a systematic review of the landscape of research data management in academic libraries. It further examines the infl uence academic libraries can have if they are involved in the research lifecycle process, and how this benefi ts research institutions that have started implementing research data management, especially in the data-intensive disciplines. Methodology. In this study, the authors analysed Web of Science and Scopus databases, searching for papers connecting research data management and academic libraries. The authors found a total of N=387 articles. After removing duplicates and applying
Research data management and libraries: Current activities and future priorities
Journal of Librarianship and Information Science, 2013
This paper reports research carried out at the end of 2012 to survey UK universities to understand in detail the ways in which libraries are currently involved in research data management and the extent to which the development of research data management services is a strategic priority for them. The research shows that libraries were offering limited research data management services, with highest levels of activity in large research-intensive institutions. There were major challenges associated with skills gaps, resourcing and cultural change. However, libraries are currently involved in developing new institutional research data management policies and services, and see this as an important part of their future role. Priorities such as provision of research data management advisory and training services are emerging. A systematic comparison between these results and other recent studies is made in order to create a full picture of activities and trends. An innovation hype-cycle ...
Research data management and the evolutions of scholarship
LIBER Quarterly: The Journal of the Association of European Research Libraries, 2019
This case study critically examines ongoing developments in contemporary scholarship through the lens of research data management support at KU Leuven, and KU Leuven Libraries in particular. By means of case-based examples, current initiatives for fostering sound scientific work and scholarship are considered in three associated domains: support for policy-making, the development of research infrastructures, and digital literacy training for students, scientists and scholars. It is outlined how KU Leuven Libraries collaborates with partner services in order to contribute to KU Leuven’s research data management support network. Particular attention is devoted to the innovations that facilitate such collaborations. These accounts of initial experiences form the basis for a reflection on best practices and pitfalls, and foreground a number of pertinent challenges facing the domain of research data management, including matters of scalability, technology acceptance and adoption, and met...
Research Data Management and Libraries: Relationships, Activities, Drivers and Influences
PLoS ONE, 2014
The management of research data is now a major challenge for research organisations. Vast quantities of born-digital data are being produced in a wide variety of forms at a rapid rate in universities. This paper analyses the contribution of academic libraries to research data management (RDM) in the wider institutional context. In particular it: examines the roles and relationships involved in RDM, identifies the main components of an RDM programme, evaluates the major drivers for RDM activities, and analyses the key factors influencing the shape of RDM developments. The study is written from the perspective of library professionals, analysing data from 26 semi-structured interviews of library staff from different UK institutions. This is an early qualitative contribution to the topic complementing existing quantitative and case study approaches. Results show that although libraries are playing a significant role in RDM, there is uncertainty and variation in the relationship with other stakeholders such as IT services and research support offices. Current emphases in RDM programmes are on developments of policies and guidelines, with some early work on technology infrastructures and support services. Drivers for developments include storage, security, quality, compliance, preservation, and sharing with libraries associated most closely with the last three. The paper also highlights a 'jurisdictional' driver in which libraries are claiming a role in this space. A wide range of factors, including governance, resourcing and skills, are identified as influencing ongoing developments. From the analysis, a model is constructed designed to capture the main aspects of an institutional RDM programme. This model helps to clarify the different issues involved in RDM, identifying layers of activity, multiple stakeholders and drivers, and a large number of factors influencing the implementation of any initiative. Institutions may usefully benchmark their activities against the data and model in order to inform ongoing RDM activity.