Data Integration Community of Practice
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The ESSnet Web Intelligence Network (WIN) project was launched by Eurostat in 2021 and aims to develop and nurture a network of like-minded individuals to have access to the Web Intelligence Hub, where they will be able to explore an array of non-traditional data sources to accelerate the modernisation of the European Statistical System (ESS).   

Building on the successful WIN webinar series delivered in 2022-2023, WIN will continue to provide a series of free webinars 2023-2024 open to all to keep the community updated on the work being carried out across the several work strands.   

The following webinars are now available to view: 

  • New avenues with web intelligence: Gaining additional value from cash register data by combing different data sources - YouTube
  • Measuring construction activities using data from the web - YouTube
  • Web data in official statistics: process, challenges, solutions – the case of online real estate offers - YouTube
  • Methods of Processing and Analysis of Web-Scraped Tourism Data – YouTube
  • Using Web-Scraped Data to Enhance the Quality of Statistical Business Registers - YouTube
  • Architecture Methodology and Quality – An Overview - YouTube

The following webinars are now available to book on Eventbrite: 

Measuring the quality of large-scale automated classification systems applied to online job advertisement data, 5 March 2024

  • Measuring the quality – a quality assessment - in general- provides insight into the quality and usability of web-scraped data for producing official statistics. The quality assessment in this presentation is about Online Job Advertisements (OJA). The OJA data was assessed in a couple of ways by members of the WIN project. Firstly, the quality and stability of the sources were assessed with the help of quality indicators that were formulated for this task. Secondly, the accuracy of the classification of the OJA data was assessed through annotation exercises. They present the quality indicators and how they are operationalised in a reproducible manner for several countries.

For more information or to book your place, visit our Eventbrite page. 


For additional information on WIN, please access the project’s work packages, blogs and training pages. They have also published a project overview on the Data Science Campus website. To find out more or to get involved, contact us at ESSnet.project@ons.gov.uk. 
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