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Introduction

  • About & Mission
  • Implementation overview
  • Data Sources

Data in UnHIDE

  • 1. Overview
  • 2. Dataset
  • 3. Documents
  • 4. Experts
  • 5. Institution
  • 6. Instruments
  • 7. Software
  • 8. Training

Interacting with UnHIDE data

  • Use case examples
  • Web search
  • SPARQL endpoint
  • REST API

Related Knowledge

  • Structured data on the web
  • Tools around Linked Data
  • Other Graphs

Technical implementation

  • 9. Data pipeline
    • 9.2. Data Harvesting
    • 9.3. Data uplifting
  • 10. Architecture
    • 10.1. Introduction and Goals
    • 10.2. Architecture Constraints
    • 10.3. System Scope and Context
    • 10.4. Solution Strategy
    • 10.5. Building Block View
    • 10.6. Runtime View
    • 10.7. Deployment View
    • 10.8. Cross-cutting Concepts
    • 10.9. Architecture Decisions
    • 10.10. Quality Requirements
    • 10.11. Risks and Technical Debts
    • 10.12. Glossary
  • .md

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9. Data pipeline

By The Helmholtz Metadata Collaboration (HMC)

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