Datasetin

Datasetin is a collaborative open data platform and registry designed to facilitate discovery, sharing, and reuse of datasets across scientific and applied domains. It provides a centralized catalog with standardized metadata, a licensing framework, data provenance tracking, and programmatic access for researchers and developers. The project originated from a consortium of universities and research institutes in 2018 and is maintained by the Datasetin Foundation, a non-profit organization focused on interoperability and open data ethics.

Key features include a metadata schema compatible with Dublin Core and schema.org, support for common data formats such as CSV, JSON, Parquet, and RDF, and a range of licensing options including CC BY 4.0, CC0, and custom licenses. Data provenance mechanisms capture dataset lineage, contributor roles, version history, and data transformation steps. Quality indicators assess attributes like completeness, accuracy, timeliness, and documentation. Access is provided via a web portal and a REST API, with support for dataset DOIs through DataCite integration. Privacy and de-identification guidelines help manage sensitive information in accordance with legal and ethical standards.

Governance is open and community-driven, with processes for feature proposals, discussion, and consensus on policies. The platform embraces open source code and metadata schemas, encouraging community contributions and peer review. Datasetin is used by researchers, educators, and government agencies to support reproducible research, data-driven instruction, and policy analysis. Its effectiveness depends on the quality of contributed datasets, clear licensing, and well-documented provenance.