DatAasee (0.5)

DatAasee centralizes and interlinks distributed library/research metadata into an API‑first union catalog.

DatAasee - A Metadatalake for Libraries

We are happy to release version 0.5 of **DatAasee** - a metadata-lake for libraries:

https://github.com/ulbmuenster/dataasee

#DatAasee is an #OpenSource #Metadata aggregator.

GitHub - ulbmuenster/dataasee: DatAasee - A Metadata-Lake for Libraries

DatAasee - A Metadata-Lake for Libraries. Contribute to ulbmuenster/dataasee development by creating an account on GitHub.

GitHub

We are happy to release version 0.3 of **DatAasee** - a metadata-lake for libraries:

https://github.com/ulbmuenster/dataasee

#DatAasee is an #OpenSource #Metadata aggregator.

@nichtich Since you were talking about property graphs at #SWIB24 : I am using #ArcadeDB ( https://arcadedb.com ) in #DatAasee
ArcadeDB - Next Generation Multi-Model Database

The fastest multi-model database with native graph engine. Support for graphs, documents, key-value, vectors, and time-series in one database.

ArcadeDB
PSA: I will pitch a session about #metadata FAIRness, openness, and accessibility with #DatAasee as a hook, at the "Metadaten-BarCamp" orbiting #SWIB24
See you at the Helmholtz Metadata Collaboration Conference 2024 where I will present #DatAasee : https://events.hifis.net/event/1627/contributions/12454/ #HMC_CON2024
Helmholtz Metadata Collaboration | Conference 2024

BRING THE META TO THE DATA ! We cordially invite you to the conference of the Helmholtz Metadata Collaboration (HMC) 2024. Be part of a growing community and exchange ideas with other experts and interested parties! The HMC conference will take place for the third time and will be held as a virtual event from 4-6 November 2024 (9:00-17:00 CEST). The conference is aimed at scientists, data professionals, software developers, users and generally anyone who wants or needs to deal with metadata....

HIFIS and Helmholtz Events (Indico)

We are happy to release version 0.2 of **DatAasee** - a metadata-lake for libraries:

https://github.com/ulbmuenster/dataasee

#DatAasee provides an #OpenSource metadata layer over distributed data and metadata sources to aggregate a unified view for better discoverability and more #FAIR research data.

GitHub - ulbmuenster/dataasee: DatAasee - A Metadata-Lake for Libraries

DatAasee - A Metadata-Lake for Libraries. Contribute to ulbmuenster/dataasee development by creating an account on GitHub.

GitHub