Data Archiving & Sharing
Promoting transparency and reproducibility in lactation research.
Open Data Advances Breastfeeding Science
JBB recognizes that lactation research data underlying published findings are as valuable as the publications themselves. We require authors to share data openly while protecting participant privacy, enabling reproducibility and accelerating discovery.
Omics Data
- Milk proteomics in PRIDE
- Metabolomics in MetaboLights
- Microbiome in SRA/ENA
- Accession numbers required
- Release upon publication
Clinical Data
- De-identified datasets
- Clinical trial registration
- Protocol availability
- Statistical analysis files
- Privacy protection measures
Supporting Data
- Raw milk analysis data
- Survey instruments
- Analysis code and scripts
- Dryad or Zenodo deposit
- DOI assignment for citation
Milk Sample Biobanks
Detail milk collection protocols, storage conditions, and freeze-thaw cycles. Share biobank access policies for collaborative research opportunities.
Mother-Infant Dyads
De-identify linked maternal-infant data carefully. Describe linkage methods while ensuring participant anonymity and family privacy protection.
Breastfeeding Surveys
Share validated survey instruments with documentation. Deposit questionnaires in open repositories for replication and adaptation.
Analysis Pipelines
Code for milk composition analysis should be deposited in GitHub with documentation enabling reproducibility by other lactation researchers.
Participant Privacy: For breastfeeding studies with sensitive information, controlled access through institutional data sharing agreements satisfies transparency requirements while protecting mother-infant confidentiality.
Contribute to Open Lactation Science
Share your data and advance breastfeeding research reproducibility.
