The Navigating the Data Labyrinth: A Bibliometrix of Data Governance Challenges in Implementing Digital Twins for Disaster Management in Developing Countries

Authors

  • Andi Agus Salim Universitas Komputer Indonesia, Universitas Telkom
  • Hasbu Naim Syaddad
  • Luki Ishwara

DOI:

https://doi.org/10.35194/mji.v18i1.6295

Keywords:

Digital Twin , Disaster Management, Data Governance, Smart City, Indonesia

Abstract

Indonesia faces significant disaster risks due to its location in the Ring of Fire, necessitating advanced mitigation technologies like Digital Twins (DT). However, the effectiveness of DT relies heavily on real-time data integration, which is often hindered by governance issues rather than technological capability. This study aims to identify specific data governance challenges in adopting DT for the public sector specifically in disaster management and proposes a conceptual framework suitable for developing countries, using Indonesia as the primary representative case. A Bibliometric analysis was conducted using the PRISMA protocol. Data was collected from Scopus (n=107) and Google Scholar/PoP, covering the period 2018–2026, focusing on the intersection of Digital Twin, Disaster Management, and Data Governance. Additionally, a qualitative case study approach was employed, utilizing Indonesia as the primary representation of developing countries to validate the proposed framework. The study identifies three key challenge dimensions: (1) Organizational (data silos and ownership ambiguity), (2) Technical (semantic interoperability and legacy systems), and (3) Legal-Ethical (data privacy and sovereignty). The paper proposes the "Integrated Disaster Data Governance for Digital Twin (IDDG-DT)" framework, which aligns with the Satu Data Indonesia policy, emphasizing that robust data governance is a prerequisite for successful Digital Twin implementation.

References

[1] A. Bucaioni, J. Axelsson, M. Behnam, and E. Ferko, "Digital twins for essential services," Future Generation Computer Systems, vol. 176, 2026.

[2] K. Tripathi, A. Tyagi, S. Gullia, M. Tripathi, and S. Tiwari, "BIDU: Blockchain Integrated Decentralized Urban Cities for Modern Generation," in Lecture Notes in Networks and Systems, 2026, pp. 465–475.

[3] H. Kaveh and R. Alhajj, "Advancing civil infrastructure with digital twins: a review of applications and challenges," Journal of Civil Engineering and Management, vol. 31, no. 8, pp. 828–842, 2025.

[4] M. Jahangir, A. Kamari, and C. P. L. Schultz, "Unified and interoperable digital twin models for emergency evacuation using building simulation identity cards," Automation in Construction, vol. 175, 2025.

[5] H. Deng, H. Li, L. Xu, A. Khudhair, H. Song, and Y. Gao, "Real-time bridge disaster management: Enabling technology and application framework," Automation in Construction, vol. 174, 2025.

[6] A. A. Salim and B. Santoso, "Evaluasi tata kelola teknologi informasi menggunakan framework COBIT 2019 pada instansi pemerintah," Media Jurnal Informatika, vol. 16, no. 2, pp. 88–95, 2024.

[7] J. Tan, X. Guo, and H. Huang, "The Ontological Multiplicity of Digital Heritage Models: A Case Study of Yunyan Temple, Sichuan Province, China," Buildings, vol. 15, no. 2, 2025.

[8] Y. Choi, "Development of a Smart Door for Disaster-Response Human Digital Twin-With Emphasis on Basic Mechanisms and Living Lab Testing," Journal of the Architectural Institute of Korea, vol. 41, no. 11, pp. 107–114, 2025.

[9] N. Samaro, T. Hartmann, F. Baba, S. Martin-Toral, and M. Zamanifar, "Developing a system reference architecture for assessing risks of heatwaves in residential buildings using a cloud-BIM environment: a design science research approach," Smart and Sustainable Built Environment, pp. 1–28, 2025.

[10] R. Selepe, T. Munyai, and O. Makinde, "Industry 4.0 technologies for improving SCOR model's enable phase: A systematic literature review," in Proceedings of the International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT), 2025, pp. 209–213.

[11] Y. Ning, Z. Wu, and Q. Ye, "Utilizing AI-Driven 6G Medical Informatics and Consumer Electronics for Early Injury Classification and Response with a Self-Learning Healthcare Digital Twin," IEEE Transactions on Consumer Electronics, 2025.

[12] L. Wang and X. Cheng, "End-to-End Federated Intelligence for Secure and Standardized Digital Twin Orchestration in 6G Smart Cities," IEEE Communications Standards Magazine, 2025.

[13] G. Hundal, D. Rhodes, and C. Laux, "Digital Transformation of Healthcare Enterprises in the Era of Disruptions—A Structured Literature Review," Sustainability, vol. 17, no. 13, 2025.

[14] T. Cao, S. Gao, X. Shi, L. Mo, B. Zhang, and J. Zhu, "Core technologies for hydropower digitalization within the Energy Internet framework: a mini-review," Frontiers in Water, vol. 7, 2025.

[15] V. Zakharov, "Automation of Proactive Monitoring Processes of Complex Agrobiotechnical Objects," in Proceedings of the International Russian Automation Conference (RusAutoCon), 2025, pp. 326–331.

[16] M. Braggio, M. Mosca, R. Mosca, N. Clavarino, and T. Melesse, "Designing Adaptive Urban Mobility: A Digital Twin-Driven Architecture for Intelligent Traffic Systems," in Proceedings of the Summer School Francesco Turco, 2025.

[17] A. Leiva-Araos, V. Kalasapudi, A. Jiang, and H. Kaushal, "Evaluating Smart Building Features for Fire, Electrical, and Life Safety: A Rapid Human-LLM Framework for Literature Review and Research Mapping," IEEE Access, vol. 13, pp. 173312–173333, 2025.

[18] N. Chahadi, S. Onar, and S. Sarbazvatan, "A Literature Review on Retrofitting Urban Structures with Intelligent Systems to Achieve City 5.0," in Lecture Notes in Networks and Systems, 2025, pp. 717–724.

[19] M. Bashir, "FAIR and Beyond: Evolving Principles for Modern Data Ecosystems," in Lecture Notes in Networks and Systems, 2025, pp. 170–189.

[20] H. Li, J. Zhang, N. Zhang, and B. Zhu, "Advancing Emergency Care With Digital Twins," JMIR Aging, vol. 8, 2025.

[21] [21] J. Wang, Y. Ma, R. Li, and S. Zhang, "Applications of Building Information Modeling (BIM) and BIM-Related Technologies for Sustainable Risk and Disaster Management in Buildings: A Meta-Analysis (2014–2024)," Buildings, vol. 15, no. 13, 2025.

[22] G. Zanfardino, "Urban Digital Twin for Territorial Management," in CEUR Workshop Proceedings, 2025.

[23] Z. Liu and J. Kim, "Autonomous Earthwork Machinery for Urban Construction: A Review of Integrated Control, Fleet Coordination, and Safety Assurance," Buildings, vol. 15, no. 14, 2025.

Published

2026-06-27

How to Cite

Salim, A. A., Naim Syaddad , H., & Ishwara , L. (2026). The Navigating the Data Labyrinth: A Bibliometrix of Data Governance Challenges in Implementing Digital Twins for Disaster Management in Developing Countries. Media Jurnal Informatika, 18(1), 31–39. https://doi.org/10.35194/mji.v18i1.6295

Similar Articles

<< < 1 2 3 

You may also start an advanced similarity search for this article.