Description
Coscine is RWTH’s solution for safely and FAIRly storing and archiving research data and metadata. By requiring metadata, Coscine ensures data meets FAIR principles, making it reusable within the scientific community. Users create projects containing resources that house data linked with metadata profiles. If publicly available, metadata can be searched. Persistent identifiers (PIDs) enhance findability.
This poster illustrates how data stewards at RWTH support researchers in using Coscine. We highlight three key areas: creating tailored metadata profiles, automating data workflows, and connecting services like ELNs.
Coscine offers fillable forms for recording metadata, allowing researchers to establish custom metadata profiles while promoting standardization. Data stewards assist in selecting and structuring metadata and creating profiles, such as for Preclinical Imaging or Flow Cytometry.
Once profiles are set, data storage is integrated into Coscine projects. To streamline workflows, data stewards develop Python scripts using the Coscine SDK, extracting metadata from research files and linking it with stored data.
Researchers also use other tools, including ELNs. REST APIs enable automated metadata transfer into Coscine, bridging ELN limitations. A native integration is in development to simplify these workflows, with potential for broader application.
