Data-Hub for Effective Local Government Service Delivery in Bangladesh: A Case Study of Union Parishads
Keywords:
Data-driven Service Delivery, Data Governance, Data-hub, Local Government, BangladeshAbstract
This paper explores the opportunities and challenges of data-driven service delivery at the local government level in a developing country context, focusing on Union Parishad, the lowest tier of local government in Bangladesh. Through systems mapping and qualitative methods, the study examines the relationships, power dynamics, and systemic barriers affecting data-driven services in four unions. It reveals a data dependency among Government Organizations (GOs) and Non-Governmental Organizations (NGOs) that limits independent decision-making, leading to inefficiencies. The Union Parishad lacks authority in delivering data-driven services, compounded by data unavailability, manual storage practices, limited data sharing coordination, and resource constraints. The study highlights the need for a data hub to improve service delivery, while emphasizing that decentralization is crucial for the hub's effectiveness. The key argument is that data hubs and decentralization must work together to ensure efficient data-driven public services at the local level.
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Agbozo, E., & Spassov, K. (2018). Establishing efficient governance through data-driven e-government. Proceedings of the 11th international conference on theory and practice of electronic governance. Pages 662 – 664. https://doi.org/10.1145/3209415.3209419
Alhassan, I., Sammon, D., & Daly, M. (2016). Data governance activities: an analysis of literature. Journal of Decision Systems, 25(sup1), 64-75.
Baroi, H. S., & Alam, S. (2021). Operationalizing the Right to Information Act through e-governance in Bangladesh: challenges and opportunities. International Journal of Public Administration, 44(8), 685-698.
Begum, T., Khan, S. M., Adamou, B., Ferdous, J., Parvez, M. M., Islam, M. S., Kumkum, F. A., Rahman, A., & Anwar, I. (2020). Perceptions and experiences with district health information system software to collect and utilize health data in Bangladesh: a qualitative exploratory study. BMC health services research, 20, 1-13.
Benfeldt, O., Persson, J. S., & Madsen, S. (2020). Data governance as a collective action problem. Information Systems Frontiers, 22, 299-313.
Bibri, S. E. (2021). The underlying components of data-driven smart sustainable cities of the future: a case study approach to an applied theoretical framework. European Journal of Futures Research, 9(1), 13.
Castro, C., & Lopes, C. (2022). Digital government and sustainable development. Journal of the Knowledge Economy, 13(2), 880-903.
Cavill, N., Richardson, D., Faghy, M., Bussell, C., & Rutter, H. (2020). Using system mapping to help plan and implement city-wide action to promote physical activity. Journal of public health research, 9(3), 1759.
Clarke, V., Braun, V., & Hayfield, N. (2015). Thematic analysis. Qualitative psychology: A practical guide to research methods, 222, 248.
Cori, A., Donnelly, C. A., Dorigatti, I., Ferguson, N. M., Fraser, C., Garske, T., Jombart, T., Nedjati-Gilani, G., Nouvellet, P., & Riley, S. (2017). Key data for outbreak evaluation: building on the Ebola experience. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1721), 20160371.
Effah, J., & Nuhu, H. (2017). Institutional barriers to digitalization of government budgeting in developing countries: A case study of Ghana. The Electronic Journal of Information Systems in Developing Countries, 82(1), 1-17.
Etang, A., & Himelein, K. (2020). Monitoring the Ebola crisis using mobile phone surveys. Data collection in fragile states: Innovations from Africa and Beyond, 15-31.
Faezirad, M., & Khoshnevisan, A. (2023). Leveraging the Potential of Soft Systems Methodology to Trigger Data Governance Policymaking in the Banking Industry. Journal of Systems Thinking in Practice, 2(1), 56-70.
Fernandez, S., & Rainey, H. G. (2017). Managing successful organizational changes in the public sector. Public Administration Review, 66(2):168-176. DOI: 10.1111/j.1540-6210.2006.00570.x
Gill, B., Borden, B. C., & Hallgren, K. (2014). A conceptual framework for data-driven decision making. Mathematica Policy Research Reports, c811d94086af410aa2cf67190
Hasan, A., Putri, E. R., Susanto, H., & Nuraini, N. (2022). Data-driven modeling and forecasting of COVID-19 outbreak for public policy making. ISA transactions, 124, 135-143.
Head, B. W. (2008). Three lenses of evidence‐based policy. Australian Journal of Public Administration, 67(1), 1-11.
Hossin, M. A., Du, J., Mu, L., & Asante, I. O. (2023). Big Data-Driven Public Policy Decisions: Transformation Toward Smart Governance. Sage Open, 13(4), 21582440231215123.
Huque, A. S., & Ferdous, J. (2024). Electronic public service delivery: progress and challenges in Bangladesh. Public Administration and Policy, 27(1), 19-30.
Khan, M. A. H., de Oliveira Cruz, V., & Azad, A. K. (2019). Bangladesh’s digital health journey: reflections on a decade of quiet revolution. WHO South-East Asia journal of public health, 8(2), 71-76.
Khan, M. M. (2008). Functioning of local government (Union Parishad): Legal and practical constraints. Democracy watch, RTI international, democratic local governance program-DLGP, USAID.
Khan, N. (2016). Challenges and trends in decentralized local governance in Bangladesh. Institute of South Asian Studies Working Paper, 222, 1-19.
Leach, M. (2015). The Ebola crisis and post‐2015 development. Journal of International Development, 27(6), 816-834.
Lewis, B. D. (2017). Does local government proliferation improve public service delivery? Evidence from Indonesia. Journal of Urban Affairs, 39(8), 1047-1065.
Lewis, D., & Hossain, A. (2018). Dealing with the local level power structure: findings from a qualitative study of three villages in Greater Faridpur District. Journal of Bangladesh Studies, 18(1-2).
Maffei, S., Leoni, F., & Villari, B. (2020). Data-driven anticipatory governance. Emerging scenarios in data for policy practices. Policy Design and Practice, 3(2), 123-134.
Matheus, R., Janssen, M., & Maheshwari, D. (2020). Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities. Government Information Quarterly, 37(3), 101284.
Micheli, M., Ponti, M., Craglia, M., & Berti Suman, A. (2020). Emerging models of data governance in the age of datafication. Big data & society, 7(2), 2053951720948087.
Misuraca, G., Barcevicius, E., & Codagnone, C. (2020). Exploring Digital Government Transformation in the EU–Understanding public sector innovation in a data-driven society. No JRC121548, JRC Research Reports from Joint Research Centre. https://publications.jrc.ec.europa.eu/repository/handle/JRC121548
Osah, J., & Pade-Khene, C. (2020). E-government strategy formulation in resource-constrained local government in South Africa. Journal of Information Technology & Politics, 17(4), 426-451.
Ospina, S. M., Esteve, M., & Lee, S. (2018). Assessing qualitative studies in public administration research. Public Administration Review, 78(4), 593-605.
Panday, P. (2017). Decentralisation without decentralization: Bangladesh’s failed attempt to transfer power from the central government to local governments. Asia Pacific Journal of Public Administration, 39(3), 177-188.
Panday, P. K. (2011). Local government system in Bangladesh: How far is it decentralized? Lex Localis: Journal of Local Self-Government, 9(3).
Pomeroy–Stevens, A., Goldman, B., & Grattan, K. (2022). Participatory systems mapping for municipal prioritization and planning. Journal of Urban Health, 99(4), 738-748.
Ros, F., Kush, R.D., Friedman, C.P., Gil Zorzo, E., Rivero Corte, P., Rubin, J.C., Sanchez, B., Stocco, P., & Van Houweling, D. (2020). Addressing the Covid‐19 pandemic and future public health challenges through global collaboration and a data‐driven systems approach. Learning Health Systems, 5.
Ruijer, E. (2021). Designing and implementing data collaboratives: A governance perspective. Government Information Quarterly, 38(4), 101612.
Sayogo, D. S., Yuli, S. B. C., & Amalia, F. A. (2023). A Critical Success Factors for Data-Driven Decision-Making at Local Government: The Case of Indonesia. JeDEM – E-Journal of E-Democracy and Open Government, 15(2), 148–166. https://jedem.org/index.php/jedem/article/view/766
Shibambu, B. A. (2019). Digital curation of records in the cloud to support e-government services in South Africa University of South Africa Pretoria. [Published Ph.D. Dissertation, University of South Africa].
Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2021). Impact of data accuracy on the evaluation of COVID-19 mitigation policies. Data & Policy, 3, e28. doi:10.1017/dap.2021.25
Storm, M.H., & Borgman, H.P. (2020). Understanding Challenges and Success Factors in Creating a Data-Driven Culture. Hawaii International Conference on System Sciences.
Taylor, G. A. J, & Blake, B. J. (2015). Key informant interviews and focus groups. M. De Chesnay (Ed.), Nursing research using data analysis: Qualitative designs and methods in nursing, 153-165. Springer Publishing Company, New York.
Terry, G., Hayfield, N., Clarke, V., & Braun, V. (2017). Thematic analysis. The SAGE handbook of qualitative research in psychology, 2, 17-37.
Uddin, N. (2019a). Empowerment through participation in local governance: the case of Union Parishad in Bangladesh. Public Administration and Policy, 22(1), 40-54.
Uddin, N. (2019b). Inquiring Autonomy of Local Governance in Bangladesh: The Case of Union Parishad. Dynamics of Public Administration, 36(1), 47-56.
van Ooijen, C., Ubaldi, B., & Welby, B. (2019). A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance. OECD Working Papers on Public Governance 33, OECD Publishing.
Veenstra, A., & Kotterink, B. (2017). Data-driven policy making: The policy lab approach. 9th International Conference Electronic Participation (ePart), September 4-7, 2017, St. Petersburg, Russia, pp.100-111, Proceedings 9. ⟨10.1007/978-3-319-64322-9_9⟩. ⟨hal-01703333⟩
Vitálišová, K., Murray-Svidroňová, M., & Jakuš-Muthová, N. (2021). Stakeholder participation in local governance as a key to local strategic development. Cities, 118, 103363.
Waheduzzaman, W., & Alam, Q. (2015). Democratic culture and participatory local governance in Bangladesh. Local Government Studies, 41(2), 260-279.
Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PloS one, 12(4), e0174944.
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