Collaboration-Centred Cities through Urban Apps Based on Open and User-Generated Data.

Area of Science:

• Urban Informatics
• Data Science
• Human-Computer Interaction

Background:

• Developing urban applications requires integrating diverse data from government, citizens, and sensors.
• Effective citizen collaboration in data prosumption is a significant challenge in urban development.

Purpose of the Study:

• To introduce the IES Cities platform for streamlining urban app development.
• To detail the query mapper component for democratizing open data access and contribution.
• To enable citizen prosumption of urban data for enhanced collaboration.

Main Methods:

• Development of the IES Cities platform with a focus on its query mapper component.
• Implementation of a data-level permission mechanism for dataset access control.
• Evaluation through an exemplary urban app and assessment of query mapper functionalities.

Main Results:

• The IES Cities platform facilitates the integration of heterogeneous urban datasets.
• The query mapper allows developers to utilize, contribute to, and create new datasets.
• A data-level permission system manages access effectively in a multi-user environment.

Conclusions:

• The IES Cities platform successfully streamlines urban app development by integrating diverse data sources.
• The query mapper democratizes open data utilization and contribution, fostering citizen engagement.
• The platform offers a robust solution for collaborative urban data management and application development.