The Trusted Smart Statistics – Web Intelligence Network project has evolved from previous activities implemented between 2016-2020, throughout the course of the ESSnet Big Data I and ESSnet on Big Data II projects, which targeted multi-purpose statistics based on an array of non-traditional data sources. This project will contribute to the establishment of the Web Intelligence Network (WIN) across the ESS and beyond. It will deliver this through a comprehensive and coordinated approach to building the web intelligence system at the ESS level, providing a greater chance to generate the right conditions for the integration of web data into official statistics, rather than via individual NSI efforts.
The specific project objectives are to:
- Raise knowledge and strengthen web intelligence competencies in the use of the WIH services across the ESS and beyond
- Advance the developments in the domains of OJA and OBEC, to integrate them with the WIH and move towards the statistical production stage
- Identify additional web data sources and to define new use cases with the potential to be integrated in the WIH
- Develop comprehensive business architecture, methodology and quality frameworks with quantitative quality indicators for the production of statistics with web data.
The project will be delivered via four key Work Packages:
- Work Package 1 - Building the WIN across ESS and beyond, via WIH-related competency building, targeted knowledge sharing, user support and users’ active engagement in WIH development
- Work Package 2 - The advancement of the WIH, and moving the online job advertisements (OJA) and online-based enterprise characteristics (OBEC) use cases into statistical production stage
- Work Package 3 - The exploration of the potential to extend the WIH by new data sources and use cases
- Work Package 4 - The development of solid methodological and quality foundations for generating statistics within the WIH