RohdatenWorkflows
RohdatenWorkflows are end-to-end pipelines designed to manage and process raw data from acquisition to analysis-ready results, with a focus on data provenance, reproducibility, and governance. They integrate steps for data ingestion, metadata capture, quality control, preprocessing, normalization, transformation, feature extraction, and storage of intermediate results, documenting each step for traceability.
They rely on workflow-management systems and containerization to ensure portability and reproducibility. Common components include parameter
Applications span multiple domains, including bioinformatics (such as raw sequencing reads and derived variants), medical imaging,
Challenges include maintaining scalability, ensuring metadata completeness, controlling data access, and validating each processing step to