Data-driven Decision Making and Urban95: Data-driven Policy Tool

Bürge Elvan Erginli, Gizem Fidan
Content Type
Special Report
Turkish Economic and Social Studies Foundation (TESEV)
A handbook on Data-driven Decision Making and Urban95: Data-driven Policy Tool ( The majority of the world population now lives in cities, while relations between technology and individuals and institutions and things are stronger than ever. The resultant growth in the volume and diversity of data has rendered the issue of data-driven policy development, which has been in existence since the 1990s, much more visible. We can define the concept of data-driven decision making as institutions that provide urban services making use of data to develop accurate, effective and measurable policies when planning how, to whom, with what content and where in the city these services will be provided. This has recently become an important topic in Turkey. We frequently encounter the importance especially of local administrations making use of data when making and following their strategic plans. In order to make use of data in developing urban policy, we first of all need to have a sense of what urban data is and the channels by which it is produced, providing us a holistic perspective. We can usually speak of five types of data in this context: The first is public administration data produced by local administrations and state agencies. The second is official statistical data such as census or household/workplace surveys gathered through questionnaires under the direction of the national statistical institute. The third is operational data on services provided by local administrations or specific institutions – institutions providing transportation service for example. The fourth is scientific data on environmental conditions such as the air, water level, pollution and noise. The fifth consists of composite indicators or estimates produced through combining and analyzing these four types of data. While most of the data in urban dashboards consist of traditional data updated monthly or yearly, operational and scientific data’s level of inclusion of real time big data in particular is increasing.
Governance, Urban, Sustainability, Data, Decision-Making
Political Geography
Turkey, Global