DatAasee is a metadata-lake to aggregate and centralize bibliographic and research-data metadata from distributed data and metadata sources to improve discoverability and FAIRness.
Features: REST-like CQRS HTTP-API, Faceted Search, Full-text Search
Interface: OpenAPI, JSON, JSON API, JSON Schema
Query Languages: SQL dialect, Cypher, Gremlin, MQL, GraphQL
Ingest Protocols: OAI-PMH, S3
Ingest Encoding: XML
Ingest Formats: DataCite, DublinCore, MARC, MODS
Deployment: Compose, Docker-Compose, Podman-Compose, K8s (via Kompose)
Components: ArcadeDB, Connect, Lowdefy
License: MIT
Website: https://ulbmuenster.github.io/dataasee
Repository: https://github.com/ulbmuenster/dataasee
Companion Paper: https://arxiv.org/abs/2409.05512
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