New technological developments, the availability of big data, and the creation of research platforms open a variety of opportunities to generate, store, and analyze research data. To ensure the sustainable handling of research data, the European Commission as well as scientific commissions have recently highlighted the importance of implementing a research data management system (RDMS) in higher education institutes (HEI) which combines technical as well as organizational solutions. A deep understanding of the requirements of research data management (RDM), as well as an overview of the different stakeholders, is a key prerequisite for the implementation of an RDMS. Based on a scientific literature review, the aim of this study is to answer the following research questions: “What organizational factors need to be considered when implementing an RDMS? How do these organizational factors interact with each other and how do they constrain or facilitate the implementation of an RDMS?” The structure of the analysis is built on the four components of Leavitt’s classical model of organizational change: task, structure, technology, and people. The findings reveal that the implementation of RDMS is strongly impacted by the organizational structure, infrastructure, labor culture as well as strategic considerations. Overall, this literature review summarizes different approaches for the implementation of an RDMS. It also identifies areas for future research.

https://doi.org/10.1177/09610006211070282

Research data management systems and the organization of universities and research institutes: A systematic literature review

This study provides insights into the evolution and conceptual framework of research data management (RDM). It also investigates the role of libraries and librarians in offering data management services and the challenges they face in this regard. The study is qualitative in nature and based on an extensive literature review survey. The analysis of the reviewed literature reveals that the idea of RDM has emerged as a new addition to library research support services. The more recent literature clearly established the pivotal role of libraries and librarians in developing and managing RDM services. However, data sharing practices and the development of RDM services in libraries are more prevalent in developed countries. While these trends are still lacking among researchers and libraries in developing countries. Creating awareness among researchers about the benefits of data sharing is a challenging task for libraries. Furthermore, institutional commitment, collaboration, academic engagement, technological infrastructure development, lack of policies, funding, and storage, skills, and competencies required for librarians to offer RDM-based services are some of the other significant challenges highlighted in the literature. Certainly, RDM services are difficult and complicated; therefore, librarians need to master the skills of research data to offer library-based RDM services.

Evolution of research data management in academic libraries: A review of the literature

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 make their datasets accessible for reuse and sharing.

https://publications.drdo.gov.in/ojs/index.php/djlit/article/download/14451/7194

A Selective Review of Literature on Research Data Management in Academic Libraries

Evaluation of Research Data Management (RDM) services in academic libraries of India: A triangulation approach

/pdf/doctoral-students-educational-needs-in-research-data-1p5nn5okgb.pdf

Doctoral Students' Educational Needs in Research Data Management: Perceived Importance and Current Competencies

Abstract RDS are usually cross-disciplinary, centralised services, which are increasingly provided at a university by the academic library and in collaboration with other RDM stakeholders, such as the Research Office. At research-intensive universities, research data is generated in a wide range of disciplines and sub-disciplines. This paper will discuss how providing discipline-specific RDM support is approached by such universities and academic libraries, and the advantages and disadvantages of these central and discipline-specific approaches. A descriptive case study on the author’s experiences of collaborating with a central RDS at the University of Cambridge, as a subject librarian embedded in an academic department, is a major component of this paper. The case study describes how centralised RDM services offered by the Office of Scholarly Communication (OSC) have been adapted to meet discipline-specific needs in the Department of Chemistry. It will introduce the department and the OSC, and describe the author’s role in delivering RDM training, as well as the Data Champions programme, and their membership of the RDM Project Group. It will describe the outcomes of this collaboration for the Department of Chemistry, and for the centralised service. Centralised and discipline-specific approaches to RDS provision have their own advantages and disadvantages. Supporting the discipline-specific RDM needs of researchers is proving particularly challenging for universities to address sustainably: it requires adequate financial resources and staff skilled (or re-skilled) in RDM. A mixed approach is the most desirable, cost-effective way of providing RDS, but this still has constraints.

/pdf/getting-the-central-rdm-message-across-a-case-study-of-4gizq2v2kc.pdf

Getting the Central RDM Message Across: A Case Study of Central versus Discipline-Specific Research Data Services (RDS) at the University of Cambridge

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Getting the Central RDM Message Across: A Case Study of Central versus Discipline-Specific Research Data Services (RDS) at the University of Cambridge