The quality of performance measurement depends heavily on the data used for the calculations (download). Managing data quality is crucial for a good assessment and maximum comparability. The process followed is three-steps:

  • define the needed data sets to be collected, based on the specified indicators

  • identify available data sources, their reliability, accessibility and data models

  • specify the collection system and calculation methodologies



The data sets relevant for the CITYkeys Key Performance Indicators were identified, building on existing common data sets whenever possible. In total the smart city KPIs need 116 raw data sets (download).


The required data sources were analysed regarding their availability, reliability, data access methods, existing data formats and the level of confidentiality in the five partner cities. Special attention was paid in the analysis of the open data sets. 


Furthermore, the data collection methods and calculation algorithms required by CITYkeys indicators were specified (download) and the most relevant existing ICT systems and open platforms related to city data were analysed. 


Warning: Data for all indicators will obviously not be available immediately in all cities. A city that engages in smart city indicators starts a process. The CITYkeys indicator framework is a methodology for such a process. Continuous development of the indicators to be used by the city and of the data collection mechanisms will be necessary.


Read more about the analysis of the available data sources for the implementation of indicators (download D.2.1 - Definition of datasets)

Read more about the methodology for data collection and indicators calculation (download D.2.2 - Specifications on methodology and indicators

CITYkeys prototype platform is available for testing at using the following credentials:

username: demo - password: demo