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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

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Architecture

10. Architecture#

How does technology behind UnHIDE look like? i.e the software and infrastructure stack.

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9.3. Uplifted data records

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10.1. Introduction and Goals

By The Helmholtz Metadata Collaboration (HMC)

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