Seamless data flow by EnzymeML, an SBML-based exchange format for the integration of enzymatic reaction data

Project Description

In this project, we add two components to our data management infrastructure for biocatalytic data, which is based on the standardized data exchange format "EnzymeML". We etablish a workflow environment and apply it to enzymatic reaction data of our experimental collaborators. The demonstation of a functional workflow is pivotal for proving the technical feasibility of our concept and for convincing the scientific community of the usefulness of FAIR data management. And we store EnzymeML documents on DaRUS. Because EnzymeML documents contain structured and standardized (meta-)data, the metadata of the "EnzymeML Dataverse" entries can be searched by existing Dataverse search tools. 

Project Information

Project Number PN 2-6
Project Name Seamless Data Flow by EnzymeML, an SBML-based Exchange Format for the Integration of Enzymatic Reaction Data
Project Duration March 2021 - August 2022
Project Leader Jürgen Pleiss
Project Members Jan Range, PhD researcher
Simone Lauterbach, MSc student
Hannah Dienhart, MSc student
Project Partners Dorothea Iglezakis (FoKUS)
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