Calendar

DANS is co-hosting a lecture from Christine Borgman (University of California, Los Angeles) and Paul Groth (University of Amsterdam) on their recent paper in the Harvard Data Science Review, titled "From Data Creator to Data Reuser: Distance Matters". Sign up to gain insight in how researchers re-use data.

Whether through scholarly reflections, concrete case studies, theoretical contributions, or policy considerations, explore this year at the DARIAH Annual Event how digital, social and institutional infrastructures can support engaged research, and nurture generosity, participation and shared creativity in the digital arts and humanities. Registration will open from 15 February 2026.

Keep an eye on our channels for the next round of courses. Data professionals and research support staff are invited to register for the Essentials 4 Data Support course. The In-person sessions will be held on 16 April (SURF) and 4 June (Health-RI) in Utrecht. The course is offered by Research Data Netherlands (RDNL), and will be instructed in Dutch.

Do you have any last minute questions about submitting your project plan to the NWO funding call for TDCC projects? Ask them during the TDCC-SSH Open Hour on 9 June at 15:00 CET. This session focuses on questions about the TDCC-SSH process and the submission of project plans to the NWO funding call.

We are delighted to invite the research support community, policymakers, and researchers for another insightful day, dedicated to advancing open science!

CESSDA ERIC celebrates its 50th anniversary! This conference marks its five decades of collaboration, innovation, and service to the European social science research community.

The National Coordination Point Research Data Management (LCRDM) is hosting the sixth edition of the DCC Spring Training Days, offering 11 different trainings and workshops for beginner data stewards and researchers. Register now and view the programme.

ODISSEI is hosting its fourth summer school at the Erasmus University Rotterdam. During the two-week programme, participants master geospatial analysis, machine learning methods and learn how to use LLM's for data collection. Apply before 28 February 2026.