Data & Smart City Governance Based on the Example of Air Quality Management

Responsible organisation
Alexander von Humboldt Institute for Internet and Society (HIIG)
Involved organisations
Kompetenzzentrum Wasser Berlin gGmbH (KWB); SIEMENS AG; Senate Department for the Environment, Urban Mobility, Consumer Protection and Climate Action (SenUMVK); Senate Department for Economics, Energy and Public Enterprises (SenWEB)
07/2022 – 03/2025
A town hall with code text coming out of a window like smoke.

The starting point for the measure is the question of how municipalities and technology companies can cooperate on an equal footing on the topic of data use and processing in a way that is oriented towards the common good. The measure aims to balance conflicting interests in the collection and use of data, focusing in particular on their technological, organizational, and legal or normative dimensions. Data governance concepts are firstly developed inductively (bottom up) based on the use case of a data-driven air quality management tools, and secondly deductively (top down) by evaluating existing governance principles in the field of smart city, corporate and data governance. As a result, a guideline for data governance in data-driven public services is generated that is transferable to other municipalities and projects.