Strategies for implementing research data management (RDM) services in Tanzania's higher education institutions (HEIs)

Purpose This study aims to explore the strategies for implementing research data management (RDM) services in Tanzania’s higher education institutions (HEIs). Design/methodology/approach The study drew upon the technology, organization, people and environment (TOPE) framework. Using a qualitative case study approach, data was collected through semistructured interviews with librarians, lecturers, information and communication technologies (ICT) and research and innovation staff. Data was thematically analyzed. Findings Numerous participants recognized the importance of RDM services, such as creating data management plans, enhancing the retrieval and reuse of research data and offering support for data curation and preservation. The study also identified organizational support, including developing policies and guidelines, providing financial assistance and ensuring data security. Furthermore, the study highlighted the importance of ICT infrastructure, including servers, software and hardware. A lack of ICT infrastructure and limited skills and knowledge among those responsible for implementing RDM services were among the challenges identified. Research limitations/implications This study used the TOPE framework, along with relevant literature, to guide the formulation of research objectives and questions. While the TOPE framework offers a comprehensive view through its four dimensions, there is a need to integrate additional models, such as data curation, to achieve a more holistic understanding. Practical implications This study provides valuable insights into strategies for implementing RDM services in HEIs. It highlights the importance of professional development for stakeholders, enabling them to develop and enforce effective strategies supporting a data-driven research agenda. Originality/value This study contributes original insights by outlining the necessary strategies for HEIs to consider when implementing RDM services. The study adds value to understanding effective RDM implementation requirements in an academic setting by identifying various strategies for developing RDM activities.

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Publication Details

Journal
Collection and Curation
Published
2024-12-25
DOI
https://doi.org/10.1108/cc-05-2024-0027
Citations
4
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
3.12
Controls
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article

Strategies for implementing research data management (RDM) services in Tanzania's higher education institutions (HEIs)

Patrick Ngulube, Neema Florence Vincent Mosha
4 citations
Collection and Curation
Research Data Management Practices
3.12
article

Strategies for implementing research data management (RDM) services in Tanzania's higher education institutions (HEIs)

Patrick Ngulube, Neema Florence Vincent Mosha
article en
4 citations

Abstract

Purpose This study aims to explore the strategies for implementing research data management (RDM) services in Tanzania’s higher education institutions (HEIs). Design/methodology/approach The study drew upon the technology, organization, people and environment (TOPE) framework. Using a qualitative case study approach, data was collected through semistructured interviews with librarians, lecturers, information and communication technologies (ICT) and research and innovation staff. Data was thematically analyzed. Findings Numerous participants recognized the importance of RDM services, such as creating data management plans, enhancing the retrieval and reuse of research data and offering support for data curation and preservation. The study also identified organizational support, including developing policies and guidelines, providing financial assistance and ensuring data security. Furthermore, the study highlighted the importance of ICT infrastructure, including servers, software and hardware. A lack of ICT infrastructure and limited skills and knowledge among those responsible for implementing RDM services were among the challenges identified. Research limitations/implications This study used the TOPE framework, along with relevant literature, to guide the formulation of research objectives and questions. While the TOPE framework offers a comprehensive view through its four dimensions, there is a need to integrate additional models, such as data curation, to achieve a more holistic understanding. Practical implications This study provides valuable insights into strategies for implementing RDM services in HEIs. It highlights the importance of professional development for stakeholders, enabling them to develop and enforce effective strategies supporting a data-driven research agenda. Originality/value This study contributes original insights by outlining the necessary strategies for HEIs to consider when implementing RDM services. The study adds value to understanding effective RDM implementation requirements in an academic setting by identifying various strategies for developing RDM activities.

Collection and CurationVol. 44(2)
University of South Africa (ZA)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Research Data Management Practices
3.12
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