SFB1479 Metadata schema
Year: 2025
Type: other
Abstract: Research data annotation is a prerequisite for data finding and sharing in collaborative research centers, both internally and with external researchers. To obtain high-quality annotations the metadata schema needs to be well-defined and documented. Additionally, it is good practice to publish schemas for reuse in other consortia and to allow for mapping with other metadata systems. A complex metadata schema has been developed for annotating research data from the Collaborative Research Center (CRC) 1479, entitled "Oncogene-driven immune escape" (OncoEscape). It relates publications from within the CRC with the underlying datasets. For these, information about their storage location and accessibility are recorded, together with a detailed classification of contents covering source organisms, sample preparation and processing, interventions, machine readouts and details of methodology. Where possible, the terms of the metadata schema are mapped to elements from well-established research ontologies in order to clarify their meaning and facilitate mapping to other resources. To make the information even more accessible, the data model is presented as an RDF knowledge graph, demonstrating the relevance of metadata for the investigations they describe. This model largely follows the Ontology for Biomedical Investigations (OBI) in the representation of scientific research. The ontological terms used in the knowledge graph, both reused and newly introduced, are collected in an ontology based on the Information Artifact Ontology (IAO). This preliminary version contains specifications of the data items from the metadata schema. This information will be complemented with a documentation of the knowledge graph, information about semantic integration and mappings to other metadata schemas.
DOI: 10.60493/sem6z-pkr31
Authors: Engel, Felix, Kaier, Klaus, Benadi, Gita, Giuliani, Claudia, Werner, Jonas, Binder, Harald, Watter, Manuel
Institution: University of Freiburg
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6900028603