Training

Our training team has a wide range of expertise in Open Science, research data management, and research infrastructures. We offer both disciplinary-specific and general training as in-person, online, and asynchronous sessions/courses. We aim to deliver high-quality training content in a responsible and engaging manner.

Training Team

DANS tries to make as much of its training materials open through divers channels and media. 

 

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Training Topics

At DANS we have considerable expertise to train on a range of different topics.

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Training Materials

DANS aims to make its training materials as open as possible.

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Collaborations

DANS is part of the Dutch research landscape and has strong collaborations with other institutions and networks.

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Training Team

At DANS we aim to deliver high-quality training content in a responsible and engaging manner. DANS Training is thus characterised by some commitments that we, as the Training Team, have made. We further prioritise engagement by ensuring that all our training materials follow current best practice for accessibility. DANS Training has also made a commitment to reducing our carbon footprint, so we are continually working to deliver the greenest events possible through conscious decisions about catering, travel, storage of materials, and bandwidth.
We are happy to discuss your training needs. Please contact us if you’d like to discuss a workshop or course.

Training Topics

Currently we offer training on Open Science, Open and FAIR Data, Research Data Management (RDM), Archiving and repository management, Data ethics and GDPR.

We have prepared FAQs on these topics. Is your question not among them? Then please contact us.

Training Materials

You can find our materials on Zenodo in our DANS training community, as well as on our Moodle (under development).

DANS has co-developed a wide range of training through its involvement in consortia projects. A few of the modules that DANS helped to create that relate to our training interests are: Data Stewardship Training (EOSC Synergy), Developing quality training (online, EOSC Synergy), Social Sciences and Humanities Open Cloud training (SSHOC), FAIRsFAIR training library (FAIRsFAIR).

We are currently working on a number of projects that will be delivering training and training materials in the near future. Please keep an eye on the following projects: EOSC FutureFAIRCore4EOSCPATTERNFAIR-ImpactBY-COVIDDICE.

Collaborations

We regularly offer training together with our partners in Open and Responsible Research Training. Our network includes Research Data Netherlands (RDNL), the Nationaal Programma Open Science (NPOS), Landelijk Coördinatiepunt Research Data Management, the Data Stewards Interest Group (DSIG), the Netherlands Open Science Communities, and Research Software Training Netherlands (RSTNL). Partner organisations include the eScience Centre, 4TU, SURF, and the Thematic Digital Competence Centres.

DANS is also an active member of a number of European Research Infrastructure Consortia (ERICs) such as the Consortium of European Social Science Data Archives (CESSDA), Digital Research Infrastructure for the Arts and Humanities (DARIAH) and the European Holocaust Research Initiative (EHRI). DANS is also the national Open Access desk (NOAD) coordinator for OpenAIRE.

News

On Thursday 17 October 2024, the Dutch Data Prize was awarded to the three winning datasets of this eighth edition of the prestigious award. Out of 52 nominations, three datasets excelled most in terms of findability, accessibility, interoperability, and reusability (FAIR). 

Over the past four years, an open source AI model that can recognise and count some 50 species of wildflowers has been developed by Fontys University of Applied Sciences. The Eindhoven Wildflower Dataset serves as the basis for this model and is open access available.

On 17 October, the Dutch Data Prize 2024 will be awarded during the FAIR-IMPACT National Roadshow in The Hague. From the 52 submitted datasets, the jury has selected the final three candidates in each of the categories; Social Sciences & Humanities, Life Sciences & Health, and Natural & Engineering Sciences. These nine finalists have a chance to win the Dutch Data Prize 2024 and a cash prize of €3,500, intended to make their dataset even more FAIR.