Improving metadata flows - using multiple metadata schemas at repositories

DataCite maintains the largest collection of metadata about research data and is uniquely positioned to facilitate activities like discovery and research. However, previous studies have highlighted that DataCite metadata is often incomplete. In this session, you will learn how different types of metadata conflicts - conflicts in implementations of the same standard and inter-standard conflicts - impact the completeness of DataCite metadata for disciplinary research data repositories.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-28
DOI
https://doi.org/10.5281/zenodo.23734191
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
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article

Improving metadata flows - using multiple metadata schemas at repositories

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

Improving metadata flows - using multiple metadata schemas at repositories

Dorothea Strecker
article en

Abstract

DataCite maintains the largest collection of metadata about research data and is uniquely positioned to facilitate activities like discovery and research. However, previous studies have highlighted that DataCite metadata is often incomplete. In this session, you will learn how different types of metadata conflicts - conflicts in implementations of the same standard and inter-standard conflicts - impact the completeness of DataCite metadata for disciplinary research data repositories.

Zenodo (CERN European Organization for Nuclear Research)
Humboldt-Universität zu Berlin (DE)
Openalex Percentile: Top 6%
Research Data Management Practices
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