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Reference implementation of a DASF Backend Module that offers functions that can be used in the viewer at https://marine-data.de of the DAM
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Set of tools to harvest, process and uplift (meta)data from metadata providers within the Helmholtz association to be included in the Helmholtz Knowledge Graph (Helmholtz-KG). The harvested linked data in the form of schema.org jsonld is aggregated and uplifted in data pipelines to be included into a single large knowledge graph (KG). The tool set and harvesters can be used as a python library or over a commandline interface (CLI, hmc-unhide). Provenance of metadata changes is tracked rudimentary by saving graph patches of changes on rdflib Graph data structures on the semantic triple level. Harvesters support extracting data via sitemap, gitlab API, datacite API and OAI-PMH endpoints.
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This repository contains docker compose deployment files for the whole software stack behind the Helmholtz knowledge graph, work from the unHIDE initiative. Deployment includes containers for the harvesters and utility, the API, SOLR, Virtuoso, Web Frontend as well as for nginx and letsencrypt. More information on the unHIDE initiative, which was launched by the Helmholtz Metadata Collaboration (HMC), you can find under https://docs.unhide.helmholtz-metadaten.de.
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(latest) A workshop on how to use containerized solutions for scientific projects using Docker as an example.
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Mattermost is an open source platform for secure collaboration across the entire software development lifecycle..
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Docker-based setup for a DASF Message Broker application
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A Django app to manage members, topics and more in an academic community
This project is subject to active development. We apologize for the lack in documentation and hope to improve on this in the near future.
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Docker-based setup for a django application with channels and ASGI deployment
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