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Components, leads, collaborations and related repositories

architectural design with components (D1.3)

Harvester

  • lead: Paul, Cenk
  • contributors: Rob & team, Nick
  • repository:harvesters
  • foreseen as part of prototype in 1st iteration (doc)

Catalogue

  • lead: Paul
  • contributors: MU, Nick
  • repository: pycsw
  • most functionality foreseen as part of prototype in first iteration (doc)

Metadata Validation

  • lead: MU (first iteration) - MU/Anna + PhD (second iteration)
  • contributors: Paul, Thorsten, Cenk, Hugo, WE, Vasilis
  • repository:
  • foreseen as part of prototype in first iteration (doc)

Transformation & Harmonization


Metadata augmentation


Knowledge Graph


System Usage & Monitoring

  • lead: WE
  • contributors: Paul
  • repository:usage-statistics
  • foreseen as part of prototype in 1st iteration (doc)

Storage


Authorisation

  • lead: WE
  • contributors: Paul
  • repository: Soilwise repo
  • not foreseen for 1st iteration (doc)

Metadata authoring

  • lead: Paul WE
  • contributors: Paul, MU
  • repository:
  • not foreseen for 1st iteration (doc)

Natural Language Querying


Map Server

  • lead: Paul
  • contributors: MU
  • repository: MapServer
  • not foreseen for 1st iteration (doc)


technical repositories not directly linked to a technical component:


other repositories in the github environment linked to the project:


other repositories in the github environment as inspiration:

  • soilinfohub: repository forked from EJP Soil Datahub, a participative effort to collect and maintain a series of descriptions of soil datasets (metadata) in the EU to facilitate discovery of these resources
  • demo-zenodo-neo4j-llm-ilvo: demo by ILVO with harvesting Zenodo, ETL to NEO4J graph database and integrated with LLM for search functionality, using Neo4J datascience algorithms for ranking or identifying duplicate datasources
  • inspire_soil_gpkg_template: repository hosting the design of a template for a relational database to capture soil data according to the INSPIRE soil data model