Monitoring and Evaluation: Data collection approach

The document defines the data collection approach as one step in a series of processes for developing a cohesive approach for information collection in the SmartEnCity framework and for assessing the possible impacts of the interventions in selected topics.

The paper contributes to a comprehensible and cohesive framework set up for measuring possible impacts of interventions in the SmartEnCity framework. The focus has been on data sources and data quality in relation to specific KPIs selected for assessing the impacts of the interventions. The deliverable first describes the importance of data collection approach, describes the link to the data model, detangles the data collection process starting from defining the requirements and ending with data storage and visualization, and constructs the data flow in the SmartEnCity CIOP. Secondly, an important focus is set on data quality aspects. Thus, a methodology for supervision of data collection is described that also includes indicators for data quality assessment. More specifically related to the three Lighthouse Cities, data quality approach for every Lighthouse City is described. This includes description of different data sources used and defining data quality assessment procedures.

This approach should also contribute to deliver a full and integrated impact assessment. At least two years of full set of data will be considered for the reporting period after the implementation of the actions in each demo site. For this every Lighthouse City has defined the data sources, the data collection frequency and aspects to estimate data quality. In addition to defining the framework of data collection this deliverable will also produce evaluation reports to assess the procedure of collecting data. The reports allow a proper supervision and analysis of the data collection process and data quality.

The core of this document focuses on the general procedure proposed for the data collection approach and, also, on procedures implemented in the Lighthouse Cities. Since the KPIs are the key to assessing the impacts of the project interventions, a detailed description of connections between KPIs, data sources and associated quality assessment procedures is brought. Approach described can be used as one of the tools in the process of collecting information and measuring impacts in the cities intending to implement smart city solutions.

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Contact:
Pilleriine Kamenjuk, University of Tartu, pilleriine.kamenjuk(at)ut.ee