The Path to Becoming a Data-Driven Public Sector

image of The Path to Becoming a Data-Driven Public Sector

Twenty-first century governments must keep pace with the expectations of their citizens and deliver on the promise of the digital age. Data-driven approaches are particularly effective for meeting those expectations and rethinking the way governments and citizens interact. This report highlights the important role data can play in creating conditions that improve public services, increase the effectiveness of public spending and inform ethical and privacy considerations. It presents a data-driven public sector framework that can help countries or organisations assess the elements needed for using data to make better-informed decisions across public sectors.

English Also available in: French

Data-driven integrity

Data are a driver of many initiatives to prevent fraud or corruption, such as the use of data to assess risks, automate control activities, or manage asset declarations and conflicts of interests. This case study explores the application of a data-driven public sector (DDPS) framework to integrity actors in government. It considers how and to what extent the different elements of a DDPS – data governance, data for creating value in public service delivery and data for promoting citizen’s trust – are applicable to the policies, practices and tools of governmental integrity actors. It emphasises both opportunities and limitations for applying the DDPS framework, taking into account the mandates of integrity actors vis-à-vis those responsible for defining and executing digital government strategies.

English Also available in: French

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