The goal of this research project is to develop and implement a generic research data management (RDM) concept which integrates software and data formats based on an object-based data model, and to apply it to the analysis of enzymatic data.
The proposed software-driven research data management (sdRDM) concept
- is generic and extensible by integrating software and data formats based on an object-based data model
- is an application-driven and bottom-up approach, driven by the needs of experimenters and modelers, and based on realistic scenarios
- is at the same time independent from, but compatible with existing data formats and contributes to standardization, in tight contact with national consortia such as NFDI as well as international initiatives
- enables and promotes F.A.I.R. publication of experiments and their analysis on Dataverse.
The sdRDM concept is based on the EnzymeML toolbox, which has been developed to foster the digitalization of biocatalysis. The toolbox will be refactored according to the proposed sdRDM concept to make it flexible, adaptable, extensible, and generic. Thus, it will be easily transferrable to other scientific fields. The transferability will be demonstrated by collaborations with further partners in PN2 and PN1 and with partners in CRC1333.
|Project Number||PN 2-6 (II)|
|Project Name||Software-driven RDM (sdRDM), a generic and extensible bottom-up research data management concept and its application in biocatalysis and beyond|
|Project Duration||January 2022 - June 2025|
|Project Leader||Jürgen Pleiss|
|Project Members||Jan Range, PhD Researcher|