Launch Event: OSCARS Open Call for Open Science projects and services

On 15 January 2025, from 11:00 to 12:30 CET, join us online for the launch of the 2nd OSCARS Open Call for Open Science projects and services.

This Open Call is the last of the two calls (total worth ~16 million EUR) foreseen in the frame of OSCARS to support research communities from any scientific domain to take up open science and foster the involvement of scientists in EOSC.

Participants will learn more about the scope and content of the call, and will have the chance to raise any question about its scope, content, conditions, and the application process.

Researchers from all scientific disciplines are welcome to apply to the 2nd OSCARS Open Call before January 15th, 2025, with proposals for the development of Open Science projects or services, that together will drive the uptake of FAIR-data-intensive research throughout the European Research Area (ERA).

Projects are funded with a lump sum between 100,000 and 250,000 EUR, and can be proposed in the fields of any of the Science Clusters and beyond, by any researcher or group of researchers.

By the end of OSCARS, it is expected that a series of valuable scientific results and new services will be available, leading to an increased uptake of Open Science by researchers and to promote cross-border and cross-domain cooperation in the long run.


WHY ATTEND?

  • To learn about OSCARS and the funding opportunity given by the 2nd OSCARS Open Call for Open Science projects and services.
  • To ask any question about the call, and get useful answers to increase the chances of submitting a successful proposal.

WHO SHOULD ATTEND?

  • Researchers from all scientific disciplines
  • Data scientists
  • Members of research infrastructures

CLICK HERE TO REGISTER

OSCARS is a four-year EU-funded project that strives to foster the uptake of Open Science in Europe by consolidating the achievements of world-class European research infrastructures in the ESFRI roadmap and beyond into lasting interdisciplinary FAIR data services and working practices.