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The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability Cover

The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability

Data Science Journal
Volume 23 (2024): Issue 1
By: Soo-Yon Kim,  Steffen Hillemacher,  Max Kocher,  Bernhard Rumpe and  Sandra Geisler  
Open Access
|Dec 2024

Authors

Soo-Yon Kim

kim@dbis.rwth-aachen.de

Data Stream Management and Analysis, RWTH Aachen University, Aachen

Steffen Hillemacher

hillemacher@se-rwth.de

Data Stream Management and Analysis, RWTH Aachen University, Aachen

Max Kocher

max.kocher@rwth-aachen.de

Data Stream Management and Analysis, RWTH Aachen University, Aachen

Bernhard Rumpe

rumpe@se-rwth.de

Software Engineering, RWTH Aachen University, Aachen

Sandra Geisler

geisler@dbis.rwth-aachen.de

Data Stream Management and Analysis, RWTH Aachen University, Aachen
DOI: https://doi.org/10.5334/dsj-2024-058 | Journal eISSN: 1683-1470
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Language: English
Submitted on: May 15, 2024
Accepted on: Dec 4, 2024
Published on: Dec 31, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Data Management Plans,
Data Findability,
Data Discoverability,
Data Sharing,
Data Reuse,
Research Data Management

© 2024 Soo-Yon Kim, Steffen Hillemacher, Max Kocher, Bernhard Rumpe, Sandra Geisler, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

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