The LUMC Data Competence Center (DCC) aims to improve the quality and efficiency of working with research data and to stimulate the re-use of knowledge, data and other digital resources (making data findable, accessible, interoperable and reusable for humans and, where appropriate, machines).
See also
This is a utility project where I use RDFLib and Construct queries to migrate our Health-RI v1 metadata on the FDP to v2.0.2
Python 1
An LUMC profile of CodeMeta 3.1 for research software metadata, with a validator that checks codemeta.json against the profile and keeps it consistent with other metadata files in the repository.
Python 1
`meta2fdp` is a Python framework for extracting metadata from source systems, transforming that metadata into RDF, and publishing it to a FAIR Data Point (FDP) instance. It is used within the LUMC as a starting point for metadata onboarding on the Health-RI health-data catalog.
Python package for generating project files from Pydantic models derived from RSM schema.
Copier templates for research software repositories, derived from RSM schema.
An LUMC profile of CodeMeta 3.1 for research software metadata, with a validator that checks codemeta.json against the profile and keeps it consistent with other metadata files in the repository.
This is a utility project where I use RDFLib and Construct queries to migrate our Health-RI v1 metadata on the FDP to v2.0.2
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