Abstract
Abstract Data are generated during all human activities related to digital technology. In recent times, scientific research has increasingly opted for digital data as its primary source of data; data definition changes for different disciplines and researchers. In this context, we study the main characteristics of data librarianship as a specialized field of traditional librarianship concerned with data use in libraries. Our work is organized as follows: First, we present a proposed Venn diagram on the theoretical foundations of data librarianship; then, we point out the core skills needed by data librarians. Based on a non-exhaustive literature review, we point out the main topics of research in data librarianship. We describe the significance of research data, data management, data curatorship, and data repositories. Finally, we list a few certification courses in data librarianship. We conclude that data librarianship plays a dynamic role in the practical application of data technologies in libraries, and that professional development, certification, and training in data librarianship are interdisciplinary tasks linked to digital technologies.
Highlights
Data is generated during almost all human activities linked to digital technology
We briefly describe the essential meaning of research data, data management, data curation, data repositories, and some courses related to data librarianship certification
The usage of data technology in libraries defines the main characteristic of data librarianship as a field
Summary
Data is generated during almost all human activities linked to digital technology. The data concept depends on context, researcher, and area of knowledge in which the research is conducted and depends on how the data. Data librarianship emphasizes is the creation of library services related to the use of digital data, data repositories, data curation, and data management in libraries. Data librarianship requires academic and professional skills, including traditional areas in librarianship, as reference service, and support to academic research. A data librarian needs to combine relevant skills and knowledges for data management and data curation. Data librarianship can be discussed as a theoretical background to enable data librarians to participate in these activities. With the union and intersection between information science, e-science, and data science These knowledge fields represent the theoretical and practical links between areas that make up data librarianship as an interdisciplinary field. Our work is organized as follows: first, we present a proposed Venn diagram for data librarianship, we point out the suggested skills to data librarians. We report theoretical issues and presents relevant research findings on these topics, based on a nonexhaustive review of recent literature extracted from databases such as Web of Science, Scopus, ResearchGate, and Google scholar
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