kohddata

Kohddata is an open-source data management framework designed to support high-dimensional, heterogeneous datasets across scientific and industrial domains. It provides a unified model for data, metadata, and provenance to facilitate storage, discovery, and analysis.

Key features include a flexible data schema that supports tabular and multi-dimensional data, a metadata catalog with schema validation and lineage tracking, and a modular processing engine for ETL and analytics. It supports multiple storage backends and common data formats such as CSV, JSON, and Parquet. Access control and privacy features are integrated to support collaborative work while safeguarding sensitive information.

Architecture: Kohddata comprises data ingestors to ingest data from various sources, a searchable catalog to organize datasets, a validation and transformation layer, a query and analytics engine, and a user interface for discovery and collaboration. The system emphasizes reproducibility through versioning and immutable dataset snapshots.

Governance: The project is maintained as an open-source effort with a permissive license and a community-driven governance model. Contributions are coordinated through a public repository, with guidelines for reporting issues, submitting patches, and proposing new features.

Applications: Kohddata is used by research groups and data repositories to manage large, complex datasets, enable data sharing among collaborators, and support reproducible analyses in machine learning, statistics, and data science.