The European Data Journalism Network (EDJNet) is a network of independent media organisations and data newsrooms producing and promoting data-driven coverage of European topics in several languages. The network brings together journalists, developers and policy experts. The network was set up in 2017.

EDJNet works as a collaborative community, news aggregator, and learning hub.

  • The content produced is available for free in several languages. It can be syndicated or reused by anyone within and outside the network under a few simple conditions.
  • Original tools and curation services are provided to journalists, enabling any newsroom to take advantage of the opportunities offered by data journalism.
  • EDJNet helps its members reach out to new audiences by translating all the articles in several languages and disseminating them through its channels.
  • A collaborative infrastructure makes it easier for EDJNet members to analyse and explain relevant phenomena affecting the European societies.

The network is open for new associate members to join; there is no entry fee. All members agree to EDJNet’s editorial policy and maintain full editorial independence. If you are interested you can check out our Membership policy.

Currently, EDJNet has 28 members based in 14 different countries:

Core members of the network are marked in purple, associate members in green.

Who’s who

  • Project coordinator: Chiara Sighele
  • Editorial coordinator: Lorenzo Ferrari
  • Editorial board: OBCT, Civio, Deutsche Welle, MIIR, Alternatives Economiques

To get in touch with EDJNet, you can write a message to info@europeandatajournalism.eu


EDJNet mostly operates with the support of the European Commission (grant agreement LC-01591825). In accordance with the agreements, the beneficiaries are independent of any instruction, pressure or request from any EU institution, any EU member state or any other state or institution in all matters concerning the editorial content that is produced.

Presentations of EDJNet

  • Presentation to the European Parliament, January 2018
  • EBU Big Data Week, Geneva, March 2017
  • Article on Nieman Lab, January 2018
  • NODA Conference, Stockholm, March 2018
  • GEN Summit, Lisbon, June 2018
  • MA in Data Science, University of Trento, November 2019
  • EU DataViz Conference, Luxembourg, November 2019