Development and Evaluation of UE – Research Management System
John Ryan Celis | Erwinaldgeriko Lagda
Abstract:
This study developed and evaluated a data-driven Research
Management System (RMS) for the University of the East (UE) to
facilitate and speed up documentation caused by the absence of a
centralized research platform. The system was designed to
streamline research submission, approval workflows, integration of
external research profiles, and reporting functions. A quantitative
research design was employed, with the system developed through
a user-centered, iterative prototyping approach and evaluated using
user acceptance testing based on the ISO/IEC 25010 quality model.
Fifty respondents—including faculty, department chairs, deans,
and administrators—assessed six quality characteristics:
Functional Suitability, Usability, Performance Efficiency, Reliability,
Security, and Overall Satisfaction. The system achieved an overall
mean rating of 4.62 (Strongly Agree), with performance efficiency
(4.70), usability (4.64), and reliability (4.62). Open-ended feedback
highlighted the need for clearer input validation, UI/UX
improvements, added support features (e.g., chat assistance,
password recovery), and enhanced functions such as dashboards
and search tools. Overall, the UE RMS demonstrated to be an
efficient, secure, and user-friendly platform that improves
transparency, accountability, and research productivity. Its positive
evaluation confirms strong alignment with ISO/IEC 25010
standards and its potential as a sustainable digital solution for
higher education institutions.
References:
- Ahmad, H. S., Bazlamit, I. M., & Ayoush, M. D. (2017). Investigation of document management systems in small size construction companies in Jordan. Procedia Engineering, 182, 3–9. https://doi.org/10.1016/j. proeng.2017.03.101
- Al-Qutaish, R. E. (2010). Quality Models in Software Engineering Literature: An Analytical and Comparative study. https://www.semanticscholar.org/paper/Quality-Models-in-Software-Engineering-Literature%3A-Al-Qutaish/77b51002b53d002278997c71c72eaf2300a87ec7
- Azeroual, O., Saake, G., & Abuosba, M. (2019). ETL Best Practices for Data Quality Checks in RIS Databases. Informatics, 6(1), 10. https://doi.org/10.3390/informatics6010010
- Azeroual, O., Saake, G., & Schallehn, E. (2018). Analyzing data quality issues in research information systems via data profiling. International Journal of Information Management, 41, 50–56. https://doi.org/10.1016/j.ijinfomgt.2018. 02.007
- Behkamal, B., Kahani, M., & Akbari, M. K. (2009). Customizing ISO/IEC 9126 quality model for evaluation of B2B applications. Information and Software Technology, 51(3), 599–609. https://doi.org/10.1016/j.infsof.2008.08.001
- Binh, L. D., Thang, N. N., & Tuan, N. A. (2023). A study on the impact of knowledge management on scientific research outputs at Vietnam National University, Hanoi. VNU Journal of Science Policy and Management Studies, 39(1). https://doi.org/10.25073/2588-1116/vnupam.4424
- Bouasangthong, V. (2024). The development of the Research Management System of National University of Laos. Vālasān Vithanyāsāt Mahāvithanyālai Suphānuvong. 10(4), 258–265. https://doi.org/10.69692/sujmrd1004258
- Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
- Bryman, A. (2016). Social Research Methods (5th ed.). London Oxford University Press. - References - Scientific Research Publishing. (n.d.). https://www.scirp.org/reference/referencespapers?referenceid=1948986
- Canlas, R. B., Piad, K. C., & Lagman, A. C. (2021). An ISO/IEC 25010 Based Software Quality Assessment of a Faculty Research Productivity Monitoring and Prediction System. International Conference on Industrial Technology, 2, 238–242. https://doi.org/10.1145/3512576.3512619
- Creswell, J. W. (2014). Research Design Qualitative, Quantitative and Mixed Methods Approaches (4th ed.). Thousand Oaks, CA Sage. - References - Scientific Research Publishing. (n.d.). https://www.scirp.org/reference/ReferencesPapers?ReferenceID=1964849
- De Melo, W. S., Braga, H. F. G. M., Cardoso, M. V. L. M. L., Melo, E. S. J., & Monteiro, F. P. M. (2024). Software evaluation on infant development to support teaching and professional training*. Revista Latino-Americana De Enfermagem, 32, e4284. https://doi.org/10.1590/1518-8345.7248.4284
- De Vera, M. J. (2022). Quantitative research methods: A practical guide for senior high school and college students. Rex Bookstore.
- Donner, E. K. (2023). Research data management systems and the organization of universities. In Digitalization, AI and the Future of Universities (pp. 199-212). Springer. https://doi.org/10.1007/978-3-031-53497-7_11
- Gañgan, M. G. T. (2025). Web-Based Market Goods Trading System of Agri-Pinoy Trading Center. International Journal of Multidisciplinary Research and Analysis, 08(06). https://doi.org/10.47191/ijmra/v8-i06-59
- Haoues, M., Mokni, R., & Sellami, A. (2023). Machine learning for mHealth apps quality evaluation. Software Quality Journal, 31(4), 1179–1209. https://doi.org/10.1007/s11219-023-09630-8
- Harish, C. K., & Rathod, G. (2025). The role of information literacy in enhancing faculty research productivity: A case study of Mangalore University-Affiliated Colleges. International Journal of Research in Library Science, 11(2), 59–64. https://doi.org/10.26761/ijrls.11.2.2025.1869
- Howell, L. P., Hogarth, M., & Anders, T. F. (2002). Creating a mission-based reporting system at an academic health center. Academic Medicine, 77(2), 130–138. https://doi.org/10.1097/00001888-200202000-00007
- Innocent, R., & Bupo, G. O. (2025). Utilization of technological tools and academic research productivity among postgraduate business education students in Rivers State universities. Faculty of Natural and Applied Sciences Journal of Mathematics and Science Education, 6(3), 121–130. https://doi.org/10.63561/fnas-jmse.v6i3.902
- ISO/IEC 25010:2011. (n.d.). ISO. https://www.iso.org/standard/35733.html
- Joshi, A., Kale, S., Chandel, S., & Pal, D. (2015). Likert scale: explored and explained. British Journal of Applied Science & Technology, 7(4), 396–403. https://doi.org/10.9734/bjast/2015/14975
- Melendres, U. M., & Aranda, K. M. (2024). Development and evaluation of a Web-Based Resident Information Management System. Journal of Computer, Software and Program., 1(1), 14–22. https://doi.org/10.69739/jcsp.v1i1.50
- Mkumbwa, R. D., Pancras, G., & Sirili, N. S. (2025). Going paperless: the strengths and limitations of electronic research ethics information management system in a health training institution in Tanzania. BMC Health Services Research, 25(1), 12. https://doi.org/10.1186/s12913-024-12151-0
- Nielsen, J. (2012). Usability 101: Introduction to usability. Nielsen Norman Group. https://www.nngroup.com/articles /usability-101-introduction-to-usability/
- Noche, E. B., Ventayen, R. J. M., & Galas, E. M. (2023). Deployment of Preprint Servers and Online Journals as Campus Research Management System Using Open-Source Applications. None, 06, 353–358. https://doi.org/10.1109/icbir57571.2023. 10147462
- Pitukhin, E. A., Zyateva, O. A., & Peshkova, I. V. (2023). Modern approaches to management of University scientific activity indicators. AIP Conference Proceedings, 2526, 030003. https://doi.org/10.1063/5.0115675
- Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what’s being reported? critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
- Salomón, S., Duque, R., Bringas, S., & De Oliveira, K. M. (2025). Quality‐in‐Use in Practice: A study for Context‐Aware software systems in pervasive environments. Journal of Software Evolution and Process, 37(1). https://doi.org/10.1002/smr.2764
- Tarima, S., Meurer, J. R., Friedland, D., Ojiako, N., Anello, M., Zimmerman, D., McCoy, R., & Shaker, R. (2025). Integrated Clinical Research Ensembles: A pathway to increased academic productivity. Journal of Clinical and Translational Science, 9(1), 1–19. https://doi.org/10. 1017/cts.2025.10130
- Triyana, M. H., & Fianty, M. I. (2023). Optimizing Educational institutions: Web-Based document Management. International Journal of Science Technology & Management, 4(6), 1653–1659. https://doi.org/10.46729/ijstm. v4i6.976
- Tsuda, N., Washizaki, H., Honda, K., Nakai, H., Fukazawa, Y., Azuma, M., Komiyama, T., Nakano, T., Suzuki, H., Morita, S., Kojima, K., & Hando, A. (2019). WSQF: Comprehensive Software Quality Evaluation Framework and Benchmark Based on SQuaRE. None, 312–321. https://doi.org/10.1109/icse-seip.2019.00045.
- Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J., Da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., . . . Mons, B. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3(1). https://doi.org/10.1038/sdata.2016.18
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