datalityOpen

datalityOpen is an open-source framework designed to facilitate data interoperability, governance, and secure sharing across organizational boundaries. The project provides a modular platform for defining standardized data schemas, access policies, and automated workflows that enable partners to discover, prepare, and exchange datasets while preserving control over data usage.

Developed by an international community of data professionals, datalityOpen aims to lower the barriers to data collaboration. It emphasizes openness, reproducibility, and privacy-preserving techniques, and it integrates with existing data landscapes such as data lakes, warehouses, and data catalogs.

The architecture centers on a core data model, a policy engine, and a set of connectors to common data stores and services. Key features include metadata governance, data provenance and lineage, role-based access controls, policy enforcement, versioning, and auditable activity logs. It supports both bulk and streaming exchanges.

The project is released under an open-source license and governed by a community-driven process. Contributions come from organizations across public, academic, and private sectors. The governance model emphasizes interoperability, compatibility with open standards, and transparent decision-making.

Use cases span research collaboration, public data sharing, healthcare analytics, and cross-enterprise data exchanges. While powerful, users should evaluate alignment with local regulations and technical requirements, and consider adopting complementary standards and privacy-preserving techniques when handling sensitive data.