Identifying Data Librarian Skills in Research Data Management Using Meta-Synthesis Method

Document Type : Original Article

Author

Department of Knowledge and Information Science, Faculty of Management, University of Tehran, Iran.

10.22034/ijism.2026.2050411.1698
Abstract
Many librarians are assuming new roles in the provision of research data services. However, the emerging field of data librarianship-particularly the specific skills it requires—has not yet been clearly defined. Therefore, the aim of this study is to explore the essential skills librarians need to effectively engage in research data management. In the present study, a meta-synthesis method was employed, following the seven-step framework proposed by Sandelowski and Barroso, to integrate data extracted from previous sources. Search terms were examined across titles, abstracts, keywords, and full texts of resources available in reputable academic databases. Ultimately, 26 credible sources-focusing on data librarians in the context of research data management-were selected for analysis. By analyzing these sources, nine main categories were identified: management and familiarity with data, information technology and information systems, behavioral and communication characteristics, legal and policy skills, research methods and project management, education and consulting, promotion and provision of services, subject knowledge and familiarity with the organization, education and library skill.  Our study identifies the various essential skills required to enhance research data management in information centers-particularly within research and academic libraries-for librarians as well as students of Information Science and Knowledge Studies, who are regarded as the primary stakeholders in this domain.
 

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Volume 24, Issue 1
Winter 2026
Pages 263-287

  • Receive Date 23 January 2025
  • Accept Date 24 February 2026