Automatic metadata extraction and mapping
Metadata schemas, providing a common template and using common vocabulary, are key for data reusability. Nevertheless, manually compiling metadata is challenging, time demanding, and error prone.
The Mapping Service addresses the critical need for standardized metadata by automatically extracting it from diverse experimental data files and mapping it to community-developed schemas which are registered in MetaRepo. The Mapping Service features a modular plugin architecture designed to be easily extensible:
Mapping service landing page
The user selects the plugin best suited to their data format and the generating instrument, is then prompted to upload their file, which is processed via the “Map document” button, triggering an automatic download of the results file. The output is a schema-adherent metadata document in JSON format, ensuring consistency, reusability, and interoperability of the research data and the metadata describing it.
Mapping Plugin |
Supported Vendor |
Related Metadata Schema |
Zeiss SEM to JSON |
Zeiss |
|
ThermoFisher SEM to JSON |
ThermoFisher |
|
APE-HE NeXus to JSON |
NeXus (custom acquisition software) |
|
MRI to JSON |
DICOM |
List of mapping plugins currently available in the Mapping Service, instrument vendors supported and references to the target metadata schemas to which the plugins map the metadata extracted from the data file.
Contact
Rossella Aversa, rossella.aversa@kit.edu