In this series, we introduceโฏmembers ofโฏtheโฏDANS Training Teamโฏand learn a bit about them.โฏThis month, Senior Research Data Management Specialist Shanmugasundaram Venkataraman (Venkat) shares how he became a trainer and which trainings he will give in the coming period.ย
Over the past few years, Latvia has developed a national research data archiving service centred around Dataverse. Following an initial development phase, the Latvian team marked this milestone with an international conference held on 21 May in Riga. DANS wasthere to share their experience.ย
Much of thecommunicationaround open sciencefocuses on inspiring, innovative large-scaleprojectsthat introduce significant change through new approaches andsubstantial funding. While these initiativescanbemotivating, theymayalso feel somewhatdistant or even discouraging. How do you translate these developmentsintoyourownday-to-day research practice?
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.