TRR359 metadata schema: A resource for the description of research data in the TRR359 Perinatal Development of Immune Cell Topology (PILOT)
TRR 359, "Perinatal Development of Immune Cell Topology (PILOT)", is a collaborative research center investigating the early adaptation of the immune system during the perinatal period. Its data output is annotated according to a complex metadata schema to make it easier to find and reuse in other contexts. This document describes the metadata schema and its potential uses. It contains mappings on common data standards and scientific domain ontologies. Within TRR 359, metadatasets are serialised as JSON objects. The structure of these objects is explained to support queries from the original JSON files.
Authors
- Roland Immler (ORCID: https://orcid.org/0000-0002-4086-7528)
- Claus-Werner Franzke (ORCID: https://orcid.org/0000-0002-8640-2160)
- Carsten Marr (ORCID: https://orcid.org/0000-0003-2154-4552)
- Katrin Kierdorf (ORCID: https://orcid.org/0000-0002-9272-4780)
- Amirhossein Kardoost (ORCID: https://orcid.org/0000-0001-6477-6631)
- Aref Kalantari (ORCID: https://orcid.org/0000-0003-3050-0930)
- Michael Rauer (ORCID: https://orcid.org/0000-0001-6971-6451)
- M Börries
- Manuel Watter (ORCID: https://orcid.org/0000-0001-7831-0613)
- Michele Proietti (ORCID: https://orcid.org/0000-0003-3095-0886)
- Alf Wachsmann (ORCID: https://orcid.org/0000-0002-7736-3059)
- Christian Schulz (ORCID: https://orcid.org/0000-0003-3878-7833)
- Felix Engel (ORCID: https://orcid.org/0009-0008-3871-9762)
- C. Giuliani
- Karin Schuller
- K Kaier
- Harald Binder
Institutions
- University of Freiburg (DE)
- Zimmer Biomet (Netherlands) (NL)
- German Cancer Research Center (DE)
- Polyclinic Medical Center (US)
- University Medical Center Freiburg (DE)
- Munich School of Philosophy (DE)
- Helmholtz Zentrum München (DE)
- LMU Klinikum (DE)
- German Cancer Society (DE)
- Institut für Urheber- und Medienrecht (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- FreiDATA
- Published
- 2026-04-15
- DOI
- https://doi.org/10.60493/n9sbn-5ww23
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00