smart statistics must be seen in a wider context of the IoT. Therefore indicators monitoring the implementation and the success of the project might differ. First of all, we would propose indicators related to the implementation and management of the project itself. These are: Building of a knowledgeable consortium bearing the potential for successful outcome of the project. This will be a condition for further progress of the project. It will be evaluated by Eurostat on the basis of the proposal(s). Implementation of the project according to planning. This can be monitored and evaluated by the project steering Quality of the reports. The quality of the reports will be evaluated by Eurostat. In addition, we propose to establish an independent review board with members from the European Statistical System. Such a board was introduced for reviewing the reports of the Big Data ESSnet. Involvement of stakeholders. The involvement of stakeholders can be assessed against their contribution to the project and their active participation in events such as seminars and workshops, where results of the project are discussed. First Implementation phase Indicators will be used to measure the progress of the implementation applicable to the deliverables in section 4.3.1 within the reports that will be accordingly foreseen. Indicators for a successful implementation of this part of the project be: Assurance of access to data sources. The number of different data sources. The number of statistical products derived as a result of the implementation and the affected statistical domains. The achievement of pre-defined quality requirements (according to applied quality framework). The actions and participation to these actions for transferring developments and knowledge within the ESS. New pilot projects 2018-2020 and extension of the work in the domain of trusted smart statistics Indicators on new big data pilots and statistics have to reflect the exploratory nature of these parts of the projects. The following indicators are proposed to be used for measuring success of the project: Access to data sources. Identification of use case and possible statistical outputs. Communication to stakeholders.
smart statistics must be seen in a wider context of the IoT. Therefore indicators monitoring the implementation and the success of the project might differ. First of all, we would propose indicators related to the implementation and management of the project itself. These are: Building of a knowledgeable consortium bearing the potential for successful outcome of the project. This will be a condition for further progress of the project. It will be evaluated by Eurostat on the basis of the proposal(s). Implementation of the project according to planning. This can be monitored and evaluated by the project steering Quality of the reports. The quality of the reports will be evaluated by Eurostat. In addition, we propose to establish an independent review board with members from the European Statistical System. Such a board was introduced for reviewing the reports of the Big Data ESSnet. Involvement of stakeholders. The involvement of stakeholders can be assessed against their contribution to the project and their active participation in events such as seminars and workshops, where results of the project are discussed. First Implementation phase Indicators will be used to measure the progress of the implementation applicable to the deliverables in section 4.3.1 within the reports that will be accordingly foreseen. Indicators for a successful implementation of this part of the project be: Assurance of access to data sources. The number of different data sources. The number of statistical products derived as a result of the implementation and the affected statistical domains. The achievement of pre-defined quality requirements (according to applied quality framework). The actions and participation to these actions for transferring developments and knowledge within the ESS. New pilot projects 2018-2020 and extension of the work in the domain of trusted smart statistics Indicators on new big data pilots and statistics have to reflect the exploratory nature of these parts of the projects. The following indicators are proposed to be used for measuring success of the project: Access to data sources. Identification of use case and possible statistical outputs. Communication to stakeholders.
item_08_smart_statistics_business_case.docx