Home
Login
Deutsch
Advanced Search
Browse by ...
Publication overview
Contact persons
Help
Publ. Version/Full Text
Research data
DOI
PMC
 |
Open Access Gold |
|
as soon as is submitted to ZB.
From manual entry to machine precision: Challenges and evolution of metadata schema development in collaborative research centers.
BMC Res. Notes 19:277 (2026)
OBJECTIVE: Metadata standardization in collaborative biomedical research must balance interoperability with domain-specific detail. We describe a parent-template approach in which a baseline schema from the nephrology-focused CRC 1453 NephGen was adapted for the tumor-immunology CRC OncoEscape and the perinatal-immunology CRC Pilot. RESULTS: The derivation process produced three structurally compatible yet vocabulary-divergent schemas. Pilot required the highest granularity (324 levels), followed by NephGen (287) and OncoEscape (283). Vocabulary reuse from the NephGen baseline was limited: 134 of 283 OncoEscape levels (47%) and 113 of 324 Pilot levels (35%) were retained unchanged. The main adaptations were not only expanded level lists, such as cell lines and mouse lines, but also new CRC-specific query dimensions, including "Oncogenes" in OncoEscape and "Timeline" in Pilot. In the context of AI-assisted extraction, we use the term instruction set to denote a schema that specifies target fields, expected granularity, example values, and validation resources for each metadata dimension, rather than a simple drop-down form or a free-text prompt template.
Altmetric
Additional Metrics?
Edit extra informations
Login
Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Biomedical Consortia ; Llm-supported Annotation ; Metadata Schema Development ; Ontology Mapping ; Research Data Management; Implementation
e-ISSN
1756-0500
Journal
BMC Research Notes
Quellenangaben
Volume: 19,
Issue: 1,
Article Number: 277
Publisher
Springer
Publishing Place
The Campus, 4 Crinan St, London, N1 9xw, England
Reviewing status
Peer reviewed
Institute(s)
Strategy and Digitalization (DIG)
Grants
Universittsklinikum Freiburg (8975)