Sunindyo, W. D., Purnama, H., Akbar, S., Satya, D., Weise, M., Piroi, F., & Rauber, A. (2026). Developing a FAIR-Compliant RDM Framework: Insights from TU Wien and ITB. In 2025 IEEE International Conference on Data and Software Engineering (ICoDSE) (pp. 166–171). IEEE. https://doi.org/10.1109/ICoDSE68111.2025.11351906
IEEE International Conference on Data and Software Engineering (ICoDSE)
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Event date:
28-Oct-2025 - 29-Oct-2025
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Event place:
Batam, Indonesia
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Number of Pages:
6
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Publisher:
IEEE
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Peer reviewed:
Yes
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Keywords:
FAIR principles; institutional research mapping; open science; research data management
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Abstract:
The growing demand for open science and data-intensive research highlights the urgent need for robust Research Data Management (RDM) systems in universities. While European institutions such as TU Wien have implemented mature FAIR-compliant infrastructures, Indonesian universities still face challenges of fragmented repositories, limited interoperability, and the absence of institutional policies. This paper presents the development of a FAIR-compliant RDM framework tailored for Institut Teknologi Bandung (ITB), derived from lessons learned at TU Wien. The framework integrates five pillars-Policy & Governance, Infrastructure, Processes & Services, Trust & Quality, and Capacity Building-supported by an implementation roadmap. A prototype system was developed using opensource components (InvenioRDM, DBRepo, JupyterHub) to enable research and business intelligence dashboards. Comparative analysis shows that the proposed framework bridges global best practices with local needs, providing both theoretical contributions to institutional data governance and practical tools for evidence-based decision-making. The outcomes aim to strengthen institutional research transparency, support Indonesia's innovation agenda, and offer a replicable model for other universities.
