Involved HDS-LEE PIs
- Albert-Ludwigs-University Freiburg
- Eberhard Karls University Tübingen
- Technical University of Kaiserslautern
- Forschungszentrum Jülich
Deutsche Forschungsgemeinschaft (DFG)
The HDS-LEE PI Prof. Björn Usadel and his working group at IBG-4 is involved in the recently initiated research consortium ‘DataPLANT’ (NFDI4Plants). The consortium is one of a total of nine in the National Research Data Infrastructure (Nationale Forschungsdateninfrastruktur - NFDI) initiative, which focuses on the systematic indexing, editing, sustainable storage and accessibility of science and research data resources and (inter)national networking. ‘DataPLANT’ aims to develop a service and data infrastructure enabling modern plant research to collect and provide large amounts of data in compliance with the FAIR data principles. With their tools that are currently being developed, ‘DataPLANT‘ is striving to use existing services and make them accessible rather than to create a completely new infrastructure.
‘DataPLANT’ is coordinated by the Albert-Ludwigs-University of Freiburg (Spokesperson: Dr. Dirk von Suchodoletz). Co-applicant institutions are the Eberhard Karls University Tübingen (Co-spokesperson: Dr. Jens Krüger), the Technical University of Kaiserslautern (Co-spokesperson: Jun. Prof. Timo Mühlhaus) and the Forschungszentrum Jülich. Prof. Björn Usadel acts as one of the co-spokespersons of ‘DataPLANT’. His group will focus on the development of plant research (meta)data standards (Standardization), ensuring data quality including the completeness of the metadata (data quality), and interoperability to ensure the (re)usability of the research data (data/workflow interoperability). These efforts will be conducted to strengthen and coordinate standardization efforts in plant research-related data and workflow annotation and will be closely linked with other relevant NFDIs nationally and internationally projects. Prof. Björn Usadel’s research work for ‘DataPLANT’ will be strongly connected to HDS-LEE project ‘Framework for Meta Data Analysis and Interactive Exploration of large Plant FAIR data sets’ to use synergies of both projects and to connect them.