5505-public
IDEAR (Improve Data Exchange And Reuse) is a project template and lightweight framework based on DIMA, JupyterLab, and Docker, designed to support structured, reproducible workflows for scientific data analysis and curation.
Updated 2025-11-03 12:08:25 +01:00
DIMA (Data Integration and Metadata Annotation) is a Python package for curating heterogeneous scientific data, enabling structured metadata annotation and export to self-describing HDF5 formats.
Updated 2025-09-20 11:02:16 +02:00