Print Email Facebook Twitter Open data for evidence-based decision-making Title Open data for evidence-based decision-making: Data-driven government resulting in uncertainty and polarization Author Luthfi, A. (TU Delft Information and Communication Technology; Universitas Islam Indonesia) Janssen, M.F.W.H.A. (TU Delft Information and Communication Technology) Date 2019 Abstract Over the last decade, more and more data are collected and opened. Governments actively stimulate the opening of data to increase citizen engagement to support policy-making processes. Evidence-based policy-making is the situation whereby decisions made are based on factual data. The common expectation is that releasing data will result in evidence-based decision-making and more trust in government decisions. This study aims to provide insight into how evidence-based policy based on open data can result into uncertainty and even polarize the policy-making process. We analyze a case study in which traffic and road utilization datasets are used and model the decision-making process using the Business Process Model and Notation (BPMN). The BPMN model shows how the government and business organizations can use the data and give different interpretations. Data-driven decision-making might potentially create uncertainty, polarization, and less trust in decisions as stakeholders can give different meanings to the data and arrive at different outcomes. In contrast to the common belief, we found that the more data released, the more discussions happened about what is desired according to the data. The various directions derived from the data can even polarize decisionmaking. In other words, the more data opened, the more people can construct their perception of reality. For further research, we recommend understanding the types and role of data to create an evidence-based approach. Subject Data-drivenDecision-makingEvidence-basedOpen dataPolarizationTrustUncertainty To reference this document use: http://resolver.tudelft.nl/uuid:5114fb58-c50f-47a7-93f8-c34636f775a4 DOI https://doi.org/10.18517/ijaseit.9.3.8846 ISSN 2088-5334 Source International Journal on Advanced Science, Engineering and Information Technology, 9 (3), 1071-1078 Part of collection Institutional Repository Document type journal article Rights © 2019 A. Luthfi, M.F.W.H.A. Janssen Files PDF 8846_19018_1_PB.pdf 1.03 MB Close viewer /islandora/object/uuid:5114fb58-c50f-47a7-93f8-c34636f775a4/datastream/OBJ/view