Developing a framework for research data management capabilities at the University of Namibia
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Date
2023
Authors
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Journal ISSN
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Publisher
University of Namibia
Abstract
This study sought to investigate the University of Namibia’s (UNAM) Research Data Management (RDM) capabilities with a view to developing an RDM framework for the institution. The study was informed by a pragmatic research paradigm and it adopted an explanatory sequential mixed method research design. In line with this research design, the study deployed a two-phased data collection process. First, during the quantitative phase, a bibliometric analysis on UNAM’s research productivity, visibility and impact was conducted using Scopus (SciVal) and the Web of Science. Second, in the qualitative phase, 22 UNAM top researchers as derived from Scopus (SciVal) and the Web of Science were purposefully interviewed based on their relevance to the study. The population of the study consisted of nine hundred and thirty-four (934) researchers. The sample comprised of 40 UNAM top researchers as indexed in Scopus (Scival) and the Web of Science. The study found that RDM is a new concept at UNAM and that it is not integrated in the research processes. It was also discovered that although the concept is new, some researchers practice RDM services using their own means. The study further revealed that there is a lack of institutional support to enhance the management of research data. The study concluded that RDM do exist at UNAM even though different researchers understands and practices the concept differently. The study recommends that UNAM develops and implements the RDM framework as part of the organisation’s structure to support staff members. The study proposes that UNAM undertake an RDM pilot study with leading universities in the region, and document some lessons learnt that can advance the implementation of RDM at UNAM.
Description
A thesis submitted in fulfillment of the requirements for the Degree of Master of Arts (Library and Information Science)
Keywords
Bibliometric analysis, Research data, Research data management, Scopus, Web of Science