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Helmholtz Metadata Collaboration

This is the internal data model used in the Helmholtz Knowledge Graph Infrastructure. RAW metadata that was harvested is mapped on this data model for harmonisation and validation purposes and to supply data to the UI.

This is a web application that provides a textual search interface to the Helmholtz Knowledge Graph. The user can search and filter results related to their queries for the Helmholtz Knowledge Graph via this interface. It is built using NextJs in TypeScript.

More information on the unHIDE initiative and this project, launched by the Helmholtz Metadata Collaboration (HMC), you can be found at https://docs.unhide.helmholtz-metadaten.de.

The Data Storage API provides programmatic access to the stored raw data of the Helmholtz KG. It enables other components or clients to interact with the raw data in a structured and controlled manner.

Repository for developing operations on Helmholtz Knowledge Graph data that reduce ambiguity and increase connectivity.

Documentation of the Helmholtz KG and UnHIDE initiative, which is hosted under: https://docs.unhide.helmholtz-metadaten.de

The documentation includes detailed information on the scope, stakeholder and user guides, as well as, developer guides. Data providers it provides basic information about metadata and how to connect to the graph, as well as how FAIR metadata can look like and should be exposed for a high visibility on the internet. Users find documentation of the available endpoints, i.e. Web front end, SPARQL API. Developers will find technical documentation on the software stack and deployment.

Gets data from Graph DB such as Virtuoso through virtuoso wrapper and QLever and indexes it to an indexer such as OpenSearch

Manages JSON LD data being injected into, and data dumps coming from Virtuoso Graph DB

CLI app to set up micro services of Helmholtz Knowledge Graph locally

This project maintains formalized mappings of different data schemas into the Helmholtz Knowledge Graphs Internal Data Model. Related documentation can be found at https://docs.unhide.helmholtz-metadaten.de

This repository hosts mapping files to map KPI properties of FDOs to RDF. For this we use an extension of the Helmholtz Digitization Ontology