The Relationship Between Attitude, Research Data Service, and Data Quality: A Study in Indonesian State Higher Education Institutions’ Libraries
DOI:
https://doi.org/10.15802/unilib/2025_347270Keywords:
attitude, research data service, data quality, academic library, librarianAbstract
Objective. Librarians’ responses to customer requests reflect their attitude. Encouraging positive attitudes among librarians is crucial for preparing institutions to reach their maximum potential in service delivery, particularly in research data services. Universities need academic library research data services to maintain data quality. These services help academic communities verify and maintain the quality of their data. Institutions, projects, and stakeholders determine the strategic value of data quality dimensions. This study aims to investigate research data services practiced by Indonesian academic librarians and to assess their attitudes, which are crucial for enhancing research data services and improving the quality of research data. Methods. Quantitative approach was used in this research. The sampling technique was purposive sampling. SEM-PLS and SmartPLS 3 were used for data analysis. This study focuses on academic librarians working in higher education institutions that are members of the Indonesian Higher Education Library Forum (FPPTI). Respondents were selected from libraries that provide research data services. Results. The results show that all constructs in the study were valid and reliable. The results emphasize the critical importance of research data services in the research model and the indirect effect of attitude on data quality through these services. Attitude has a significant impact on the research data service. However, the research data service has a more substantial impact on data quality. Conclusions. Fostering positive attitudes through training and supportive environments can improve service delivery and data quality. Strengthening research data services also enhances institutional credibility and academic outcomes.
References
Corrall, S., Kennan, M. A. and Afzal, W. (2013). Bibliometrics and research data management services: Emerging trends in library support for research. Library Trends, 61(3), 636-674. doi: https://doi.org/10.1353/lib.2013.0005 (in English)
Fishman, J., Yang, C. and Mandell, D. (2021). Attitude theory and measurement in implementation science: a secondary review of empirical studies and opportunities for advancement. Implementation Science, 16, Art. 87. doi: https://doi.org/10.1186/s13012-021-01153-9 (in English)
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. doi: https://doi.org/10.2307/3151312 (in English)
Galih, A. P., Hajdu Barát, Á., Bahar, N. Z., & Febriyanti, D. E. (2023). The analysis of data literacy and data quality: Study at faculty of administrative science, Brawijaya University. Insaniyat: Journal of Islam and Humanities, 8(1), 47-61. doi: https://doi.org/10.15408/insaniyat.v8i1.29583 (in English)
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4, Art. 7. doi: https://doi.org/10.17705/1CAIS.00407 (in English)
Getie, A. S. (2020). Factors affecting the attitudes of students towards learning English as a foreign language. Cogent Education, 7(1), Art. 1738184. doi: https://doi.org/10.1080/2331186X.2020.1738184 (in English)
Giarlo, M. J. (2013). Academic libraries as data quality hubs. Journal of Librarianship and Scholarly Communication, 1(3), Art. eP1059. doi: https://doi.org/10.7710/2162-3309.1059 (in English)
Hassenstein, M. J., & Vanella, P. (2022). Data quality — concepts and problems. Encyclopedia, 2(1), 498-510. doi: https://doi.org/10.3390/encyclopedia2010032 (in English)
Ilori, M. E., Owolabi, R. O., Oden, A. N., & Ogungbade, A. A. (2025). Staff attitude, library policies and service delivery in university libraries in Ogun State, Nigeria libraries in Ogun State, Nigeria. Library Philosophy and Practice (e-Journal), Art. 8182. Retrieved from https://digitalcommons.unl.edu/libphilprac/8182/ (in English)
Koltay, T. (2016). Are you ready? Tasks and roles for academic libraries in supporting Research 2.0. New Library World, 117(1-2), 94-104. doi: https://doi.org/10.1108/NLW-09-2015-0062 (in English)
Linde, P., Noorman, M., Wessels, B. A., & Sveinsdottir, T. (2014). How can libraries and other academic stakeholders engage in making data open? Information Services & Use, 34(3-4), 211-219. doi: https://doi.org/10.3233/ISU-140741 (in English)
Niu, J. (2020). Diffusion and adoption of research data management services. Global Knowledge, Memory and Communication, 69(3), 117-133. doi: https://doi.org/10.1108/GKMC-05-2019-0057 (in English)
Nurkamilah, S., & Nashihuddin, W. (2021). Upaya perpustakaan dalam membangun kolaborasi riset pustakawan di Universitas Sebelas Maret Surakarta. Tik Ilmeu : Jurnal Ilmu Perpustakaan Dan Informasi, 5(1), 1-16. doi: https://doi.org/10.29240/tik.v5i1.2279 (in Indonesian)
Oden, A. N., & Owolabi, R. O. (2021). Staff attitude and service delivery in university libraries in Ogun State, Nigeria. Information Impact: Journal of Information and Knowledge Management, 12(2), 17-29. doi: https://doi.org/10.4314/iijikm.v12i2.2 (in English)
Ramasamy, A., & Chowdhury, S. (2020). Big data quality dimensions: A systematic literature review. Journal of Information Systems and Technology Management, 17, Art. e202017003. doi: https://doi.org/10.4301/S1807-1775202017003 (in English)
Reeves Flores, J., Brodeur, J. J., Daniels, M. G., Nicholls, N. and Turnator, E. (2015, September). Libraries and the research data management landscape. In J. C. Maclachlan, E. A. Waraksa, & C. Williford (Eds.), The process of discovery: The CLIR postdoctoral fellowship program and the future of the academy (pp. 82-102). Washington, DC: Council on Library and Information Resources. Retrieved from https://www.clir.org/pubs/reports/pub167/ (in English)
Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, Art. 109074. doi: https://doi.org/10.1016/j.dib.2023.109074 (in English)
Springer Nature. (n.d.). Research data. Retrieved from https://www.springernature.com/gp/authors/research-data (in English)
Sugiyono. (2020). Metode penelitian kuantitatif, kualitatif, Dan R&D (2nd ed.). Bandung: Alfabeta.
Tenopir, C., Birch, B., & Allard, S. (2012, June). Academic libraries and research data services: Current practices and plans for the future. Association of College and Research Libraries. Retrieved from http://hdl.handle.net/11213/17190 (in English)
Tenopir, C., Pollock, D., Allard, S., & Hughes, D. (2016). Research data services in European and North American libraries: Current offerings and plans for the future. Proceedings of the Association for Information Science and Technology, 53(1). doi: https://doi.org/10.1002/pra2.2016.14505301129 (in English)
Tenopir, C., Sandusky, R. J., Allard, S., & Birch, B. (2013). Academic librarians and research data services: Preparation and attitudes. IFLA Journal, 39(1), 70-78, doi: https://doi.org/10.1177/0340035212473089 (in English)
Vlaeminck, S. (2013). Data management in scholarly journals and possible roles for libraries — some insights from EDaWaX. Liber Quarterly, 23(1), 48-79. doi: https://doi.org/10.18352/lq.8082 (in English)
