Research Data Management Among Researchers in Higher Learning Institutions of Sub-Saharan Africa

Research Data Management Among Researchers in Higher Learning Institutions of Sub-Saharan Africa

Neema Florence Mosha, Edith Talina Luhanga, Mary Vincent Mosha, Janeth Jonathan Marwa
Copyright: © 2020 |Pages: 10
DOI: 10.4018/978-1-7998-1471-9.ch024
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Abstract

Advancement in information and communication technologies has made it easier for researchers to capture and store myriad data at a higher level of granularity. Higher education institutions (HEIs) worldwide are incorporating research data management (RDM) services to enable researchers to work with their data properly. This chapter focuses on creating awareness amongst researchers on how researchers and HEIs can form strategies, design and restrict data management plan (DMP), integrate research data life cycle, and ensure quality data sharing, as well as integrate with developed RDM policies and guidelines to curb challenges prohibiting the practice of RDM in HEIs.
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Research Data Management (Rdm)

RDM is part if the research process aims to make the research process as efficient as possible and meet expectations and requirements of the university, research funders, and legislation. It is concerned with the organisations of data, from its entry to the research cycle through dissemination and archiving of valuable results. Thus, RDM is understood by defining data. Data are items of recorded information considered collectively for reference or analysis. Kaye, John, and Bruce (2017, p. 301) state that data can occur in a variety of formats that includes, but are not limited to:

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