Towards Standardized Metadata for Animal Phenotyping: Adapting the MIAPPE Framework to Enhance Data Interoperability
Abstract
Animal phenotyping (e.g., FAANG, PigWeb) generate vast datasets critical for genomics,welfare, and precision livestock farming. However, inconsistent metadata collectionhampers data integration, reproducibility, and reuse across species and projects.We propose a unified minimal metadata standard for animal phenotyping by adapting theMIAPPE (Minimum Information About Plant Phenotyping Experiments) checklist, a well-establishedframework in plant science, to address animal-specific requirements.
Fields of Study & Subjects
Research Data Management Practices
Genetic and phenotypic traits in livestock
Scientific Computing and Data Management
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 February 2026
- Language
- EN