A Knowledge Graph-Based Data Integration Workflow for NFDI4Culture and Beyond

Despite covering specific scientific disciplines, all NFDI consortia share similar concepts such as organizations, people, institutions, areas of expertise, data repositories, projects, data sets, and research (meta)data, just to name a few. When interconnected, such information has the potential to open up new research horizons. To achieve this, however, the data needs to be available as linked open data (LOD). Hence a comprehensive workflow, which includes data discovery, harvesting, preprocessing, mapping, and integration into a knowledge graph is required, which is the topic of the present work.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-18
DOI
https://doi.org/10.5281/zenodo.14181347
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

A Knowledge Graph-Based Data Integration Workflow for NFDI4Culture and Beyond

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

A Knowledge Graph-Based Data Integration Workflow for NFDI4Culture and Beyond

article en

Abstract

Despite covering specific scientific disciplines, all NFDI consortia share similar concepts such as organizations, people, institutions, areas of expertise, data repositories, projects, data sets, and research (meta)data, just to name a few. When interconnected, such information has the potential to open up new research horizons. To achieve this, however, the data needs to be available as linked open data (LOD). Hence a comprehensive workflow, which includes data discovery, harvesting, preprocessing, mapping, and integration into a knowledge graph is required, which is the topic of the present work.

Zenodo (CERN European Organization for Nuclear Research)
Karlsruhe Institute of Technology (DE), FIZ Karlsruhe – Leibniz Institute for Information Infrastructure (DE), Academy of Sciences and Literature (DE)
Openalex Percentile: Top 41%
Research Data Management Practices
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