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Data governance and data for governance : a circular and regulatory perspective on data

Av: Medverkande: Utgivningsinformation: [Göteborg] : [CLOSER], 2025Beskrivning: 43 sÄmnen: Onlineresurser: Anmärkning: Projekt: Smarta urbana trafikzoner / Smart Urban Traffic Zones (SUTZ). Sammanfattning: The Smart Urban Traffic Zones1 Project aims to create smart solutions in cities that contribute to increased flexibility in the use of urban space, more efficient transportation, and improved traffic safety. This report is a partial deliverable within the project, where we have explored how a municipality can collect and work with data to achieve better and more efficient solutions, based on policies and regulations. During this work, we have identified four possible approaches to data sharing. In the first approach, the city handles all data-related tasks itself, from start to finish. In the second approach, the city allows private actors to collect data in the city infrastructure. These companies then aggregate and analyse the data, and the municipality procures the results through a public procurement process. The third approach is based on voluntary data sharing. The municipality procures a data-sharing platform, which both public and private entities can use to exchange data. In the fourth and final approach, the municipality makes its data publicly available, for example, via the National Access Point. The expectation is that the market will identify possible use cases for the municipal data, combine it with their own data, and develop services for citizens.
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Projekt: Smarta urbana trafikzoner / Smart Urban Traffic Zones (SUTZ).

The Smart Urban Traffic Zones1 Project aims to create smart solutions in cities that contribute to increased flexibility in the use of urban space, more efficient transportation, and improved traffic safety. This report is a partial deliverable within the project, where we have explored how a municipality can collect and work with data to achieve better and more efficient solutions, based on policies and regulations. During this work, we have identified four possible approaches to data sharing. In the first approach, the city handles all data-related tasks itself, from start to finish. In the second approach, the city allows private actors to collect data in the city infrastructure. These companies then aggregate and analyse the data, and the municipality procures the results through a public procurement process. The third approach is based on voluntary data sharing. The municipality procures a data-sharing platform, which both public and private entities can use to exchange data. In the fourth and final approach, the municipality makes its data publicly available, for example, via the National Access Point. The expectation is that the market will identify possible use cases for the municipal data, combine it with their own data, and develop services for citizens.