Data Curation Guides
In-depth Data Curation guides for research, medtech and medical-AI teams. Methodical, sourced and defensible practice.
2 articles
Data Curation
Medical Dataset Curation: Ground Truth, Annotation, and KVKK Compliance
The path from raw clinical data to a model-ready dataset for a medical AI study. Ground truth protocol, annotation workflow, KVKK-compliant pseudonymization, train/val/test split, and quality control.
May 30, 2026 · 9 min read
Data Curation
Clinical Data Pipeline: HL7 FHIR, DICOM, OMOP
Clinical data pipeline design for hospitals and companies: HL7 v2 / FHIR messaging, DICOM imaging, OMOP Common Data Model standardization, KVKK-compliant anonymization, data quality control, and production of research-ready datasets. A practical end-to-end guide to medical data engineering.
May 22, 2026 · 10 min read