News

Moving forward from the 2021โ€“2025 policy period and the SEP evaluation in 2024, DANS presents a new strategy for the period 2026โ€“2028.

The DANS Training Team organises its activities around core themes. Each theme brings together relevant knowledge and materials for the community, making it easier for researchers and data professionals to find appropriate support. One of the central themes is FAIR and open science.

A image with the text: Software update Data Stations and DataverseNL. With decorative illustrations and the letter D.

The DANS Data Stations and DataverseNL make use of the open-source Dataverse software. This software is actively developed, with new releases published several times a year.ย 

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In this series, we introduceโ€ฏmembers ofโ€ฏtheโ€ฏDANS Training Teamโ€ฏand learn a bit about them.โ€ฏWe beginโ€ฏthis monthโ€ฏwith Research Data Management Specialist Michelle van den Berk, whoโ€ฏprovidesโ€ฏa range ofโ€ฏtraining on the practical application of open science and FAIR data.

FIDELIS has launched their first open call for training and support, facilitating mentoring and peer-to-peer knowledge exchange to support skill development and foster collaborative approaches, tackling common challenges in the repository community. Apply before 30 April to become a mentor or mentee.

Researchers in the social sciences and humanities (SSH) often work with data that cannot easily be shared. New guidebooks developed through the Beyond Personal Data project offer practical guidance to help researchers navigate ethical, legal and practical challenges when sharing sensitive data.

Over the course of 2025, the CESSDA Data Management Expert Guide (DMEG) and Data Archiving Guide (DAG) received some updates. DANS is the Dutch Service Provider for CESSDA and is actively involved in their RDM training materials, specifically in revising parts of the DAG and giving feedback on the DMEG.

Based on user feedback and the inputย fromย experts, DANS released an updated version of the Qualitative Data Guide toย provideย better guidance for making qualitative research data reusable.ย ย