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Online workshop "How to Address Open Science in EU Projects"

In this webinar on 9 June 2022, you will learn what you need to consider in Horizon Europe projects to fulfil Open Science requirements.

Graphic of a landscape with skyscrapers, a tree and many different people. On the right, the words "Horizon Europe - Investing in OUR FUTURE together". Below it "European Union" and the EU flag.

Image: European Union

With the start of the EU’s Horizon Europe, Open Science is a prerequisite for successful applications. But other funding bodies also increase their funding when projects use Open Science methods. Science should be open, data should be accessible, and the public should be involved. Although Open Science is gaining more importance than ever, the definition and the methods that are counted as such are often unclear.

In this webinar, the definitions of the different Open Science elements of the European Commission will be explained. It also provides practical guidance for implementing the so-called mandatory and recommended Open Science practices

Agenda

  • Open Science in Horizon Europe – Michalis Tzatzanis, FFG
  • Mandatory Open Science Practices: Tips for implementation – Barbara Sánchez, TU Wien
  • Recommended Open Science Practices: A short overview with special focus on Citizen Science – Daniel Dörler and Florian Heigl, University of Natural Resources and Life Sciences Vienna (BOKU)
  • Q&A

Target groups

  • Applicants
  • Staff from project offices and RDM support

Time and place

9.6.2022, 10:00-11:30, online (Zoom)

More information and registration

Please visit the event website, opens an external URL in a new window for more information and registration.

About the Event Series

The event series “Research Data Management in Austria, opens an external URL in a new window” is aimed at researchers and / or people involved in research support and serves to promote networking and exchange on the topic of research data management, such as writing a data management plan, next-generation repositories or workflow models.

Contact

TU Wien
Center for Research Data Management
Favoritenstraße 16 (top floor), 1040 Vienna

research.data@tuwien.ac.at

Twitter: @RDMTUWien