Abstract
This article gives an overview of the FAIR Data Austria project objectives and current results. In collaboration with our project partners, we work on the development and establishment of tools for managing the lifecycle of research data, including machine-actionable Data Management Plans (maDMPs), repositories for long-term archiving of research results, RDM training and support services, models, and profiles for Data Stewards and FAIR Office Austria.
Highlights
The FAIR Data Austria1 project is led by the Graz University of Technology (TU Graz), with TU Wien and the University of Vienna as core partners
The project contributes to the strengthening of knowledge transfer between universities, industry and society and supports the sustainable implementation of the European Open Science Cloud (EOSC)
This resulted in discussions with various departments that required clarification of internal workflows and documents before the information was added to DAMAP
Summary
The FAIR Data Austria project is led by the Graz University of Technology (TU Graz), with TU Wien and the University of Vienna as core partners. The evaluation rubric requires specific information, like frequency of backups for storage used, which is not what researchers may or even should know – such information should be provided automatically depending on the storage location they choose This leads to the second challenge we had to face: to prefill some information automatically, we had to collect this information first-hand, e.g. on the frequency of backups of storage services provided by the universities. This resulted in discussions with various departments that required clarification of internal workflows and documents before the information was added to DAMAP. We plan to open DAMAP to everyone who is interested, and to establish a group of users who maintain the software and work jointly to improve and extend it further
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