Since January, our project has entered a new phase, launching a fresh series of case studies. While most of these are based in Ireland, we’ve broadened our scope to examine data practices at the European level. Given that Ireland must comply with EU data collection standards, we wanted to explore how European harmonisation shapes data production in Ireland, how data flows across borders, and the political and critical issues surrounding data practices. 

To investigate these questions, Juliette Davret travelled to Luxembourg in late April to meet with representatives from Eurostat and ESPON. At Eurostat, she met with the team responsible for short-term business statistics, and at ESPON, she connected with the team working on the Housing4All project. 

Before these meetings, she also spoke with representatives from Ireland’s Central Statistics Office (CSO). These initial conversations helped her understand how Irish statisticians prepare and submit data to Eurostat and highlighted potential areas of friction or challenge in meeting EU requirements. These insights proved valuable in framing the discussions in Luxembourg.

Meeting with Eurostat representatives shed light on the complexities of data processing and standardisation across EU member states. They discussed the challenges of aligning timelines, addressing national data specificities, and creating entirely new datasets. These obstacles reflect broader tensions between Eurostat’s centralised data strategy and the diverse realities of data production in different countries, in line with what we have observed within Ireland’s own data ecosystem. 

At ESPON, the focus shifted to the topic of housing affordability and the difficulties of developing coherent data narratives at the European scale. Juliette met with both a project manager and a data manager, which offered complementary perspectives. A key challenge discussed was the lack of harmonised datasets, particularly concerning issues like housing vacancies and income. These data gaps make comparisons more difficult and challenge the development of evidence-based policies. The urgency of improving housing data was a recurring theme, especially given the strong role that data-driven narratives play in planning and housing policy across Europe.

This field visit deepened our understanding of the broader European data landscape and how national and EU-level priorities overlap. It also emphasised the importance – and the difficulty – of building comprehensive, harmonised datasets to support effective and equitable policymaking.