Pemetaan Sistematik Publikasi Penelitian Pustakawan Data Mengunakan Scientopy


  • Nur Rizzal Rosiyan Badan Riset & Inovasi Nasional


data librarian, scientometric, scientopy, open source, library


Data librarians are librarians who work in libraries assisting users as Data Management Consultant, Data Mining Consultant, Data Research Scientist, Data Services Librarian, Design Data Librarian, Digital Archivist, Digital Collections, Strategist and Architecture Librarian, Digital Humanities Design Consultant, Digital Records Archivist Manager, Data Management Services, Research Data Librarian, Research Data Management Coordinator, Scientific Data Curation, Specialist/Metadata Librarian, Scientific Data Curator, Social Science Data Consultant. This study aims to determine the distribution of data librarian research publications by year, the most productive researchers publishing data librarian research, the most productive publishers publishing data librarianship, the distribution of data librarian research by country, the distribution of data librarian research by document type, and the distribution of data librarian research by subject. The study was conducted using a scientometric approach using the open source software Scientopy. Data collection was carried out by searching using the keywords data librarian and data librarianship. Data collection was carried out on October 13, 2023, and 857 documents were obtained. The results of the analysis show that the systematic mapping of data librarianship research publications has been carried out since 2006, and the peak occurred in 2023. The most productive researchers in publications with 5 documents and the number of h-index 4, with the most published document type in the form of articles as many as 480 documents The most common subject is information science and library science, with 149. The country with the most productivity is the United States, with the highest citation rate of 33.


Ali, I. (2015). Big data: Apa dan pengaruhnya pada perpustakaan? Media Pustakawan, 22(4), 19–23.

Fassin, Y. (2023). The ha-index: The average citation h-index. Quantitative Science Studies, 4(3), 756–777.

Hudzik, K. (2020). Data librarian-Nowy profil zawodowyw bibliotekach naukowych. Przeglad Biblioteczny, 88(3), 309-328.

Kim, S., & Choi, M.-S. (2016). Study on data center and data librarian role for reuse of research data. 8th International Conference on Knowledge and smart Technology (KST), Chiang Mai, Thailand, 303–308.

Kismiyati, T. (2020). Repositori data nasional: Tantangan baru pengembangan koleksi perpustakaan. Media Pustakawan, 27(3), 189–194.

Mansourzadeh, M. J., Khalagi, K., Yarmohammadi, H., Ghazbani, A., Fahimfar, N., Hajipour, F., Sanjari, M., Gharibzadeh, S., Mehrdad, N., Larijani, B., & Ostovar, A. (2020). Osteoporosis researches in Endocrinology & Metabolism Research Institute (EMRI) of Tehran University of Medical Sciences; a Scientometrics study. Journal of Diabetes & Metabolic Disorders.

Momeni, F., Mayr, P., & Dietze, S. (2023). Investigating the contribution of author-and publication-specific features to scholars’ h-index prediction. EPJ Data Science, 12(1), 45.

Narendra, A. P. (2018). Big data, data analyst, and competence improvement of librarian. Record and Library Journal, 1(2), 83–93.

Pistone, R. (2023). Identifying and navigating the current trends in business librarianship and data librarianship. Computer and Information Science, 16(3), 1-6.

Rudman, R., & Bruwer, R. (2016). Defining Web 3.0: Opportunities and challenges. The Electronic Library, 34(1), 132–154.

Ruiz-Rosero, J., Ramirez-Gonzalez, G., & Viveros-Delgado, J. (2019). Software survey: ScientoPy, a scientometric tool for topics trend analysis in scientific publications. Scientometrics, 121(2), 1165–1188.

Ruiz-Rosero, J., Ramirez-Gonzalez, G., Williams, J., Liu, H., Khanna, R., & Pisharody, G. (2017). Internet of things: A scientometric review. Symmetry, 9(12), 301.

Satriani, S., Iskandar, I. Ahmad, L.O.I., & Haruddin, H. (2021). Peran Pustakawan UPT perpustakaan dalam mendukung iklmi riset di Universitas Islam Negeri Alauddin Makassar. Literatify: Trends in Library Developments, 2(2), 97-106.

Semeler, A. R., Pinto, A. L., & Rozados, H. B. F. (2019). Data science in data librarianship: Core competencies of a data librarian. Journal of Librarianship and Information Science, 51(3), 771–780.

Sulaiman, M., Rosiyan, N. R., Untari, D., Rachmawati, R., & Trianggoro, C. (2022). Peran pustakawan data dalam meningkatkan literasi dan kapasitas pengelolaan data penelitian bagi komunitas penelitian dan profesional informasi di Indonesia. Media Pustakawan, 29(3), 241–253.

Teixeira Da Silva, J. A., & Dobránszki, J. (2018). Multiple versions of the h-index: Cautionary use for formal academic purposes. Scientometrics, 115(2), 1107–1113.

Untari, D. (2021). Pengembangan layanan data penelitian (research data services) di perpustakaan lembaga penelitian. 1st International Conference on Library and Information Sciences.




How to Cite

Rizzal Rosiyan, N. (2023). Pemetaan Sistematik Publikasi Penelitian Pustakawan Data Mengunakan Scientopy. Media Pustakawan, 30(3), 235–244. Retrieved from