Leiden Declaration on FAIR Digital Objects
The end and highlight of the 1st International Conference of FAIR Digital Objects was the signing of the Leiden Declaration on FAIR Digital Objects. Logo of fdo2022.org The Leiden Declaration…
The end and highlight of the 1st International Conference of FAIR Digital Objects was the signing of the Leiden Declaration on FAIR Digital Objects. Logo of fdo2022.org The Leiden Declaration…
On Wednesday 29 June, 2022, more than 30 participants combined their efforts to create lesson plans to facilitate trainers on implementing the FAIR Principles in practice. Photo: https://www.pexels.com/ During a…
The Training Task Force of the FAIR Data Austria project has created an Open Educational Resources (OER) package for Research Data Management (RDM) and recently published them on the website…
ELIXIR-CONVERGE FAIR Hackathon on June 29th 2022 The FAIR Office Austria will take part in the FAIR Hackathon end of June 2022. We are looking for topical experts who can…
The work on DAMAP and the FAIR Data Austria (FDA) project are featured in an implementation story published by the FAIRsFAIR project. The work support “Turning FAIR into Reality” as…
On Wednesday 23 March 2022, more than 45 participants, many of them researchers from the health domain, took the opportunity to learn about managing sensitive data. Image: license-free, Pexels In…
Innovative Data Environment @ Styria – kollaborative Datennutzung zwischen Wissenschaft, Wirtschaft und Öffentlichkeit Visit the lecture on 09 May 2022 and learn more about the cooperation project IDE@S. The cooperation…
In its Open Science Policy, Austria commits to the Open Science movement and the European Open Science Cloud (EOSC). FAIR data is mentioned as one of the principles and core…
In July 1 2022, the Horizon project FAIRicube (F.A.I.R. information cube) will be launched. The FAIRiCUBE project will pave the way for a crosscutting platform and framework for data ingestion,…
Online-Workshop “FAIR for Sensitive Data” Join us on 23rd March 2022 to learn about technical and legal aspects of working with sensitive data, methods, and tools for privacy-preserving data mining/analysis…