The reuse of research data is a keyprinciple of open science. It enables verification, supports new research, and contributes to the cumulativeknowledge development.ย
In this series, we introduceโฏmembers ofโฏtheโฏDANS Training Teamโฏand learn a bit about them.โฏThis month, Research Data Management Specialist Maaike Verburg shares what she values in her work and how she supports data professionals.ย
In recent months, ourdata services have experiencedrecurring DDoS attacks. At times, this has reducedaccessibility, particularlyfor users outsidethe Netherlands. The integrity of datasets has not been affected.
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.
Social Sciences and HumanitiesArchaeologyLife SciencesPhysical and Technical SciencesDataverseNL
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
In this series, we introduceโฏmembers ofโฏtheโฏDANS Training Teamโฏand learn a bit about them.โฏWe beginโฏthis monthโฏwith Research Data Management Specialist Michelle van den Berk, whoโฏprovidesโฏa range ofโฏtraining 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.