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

In the past years, there has been an increased interest in sharing and reusing research data. While the importance of sharing data is urgent for enabling collaboration, many research projects are currently struggling with setting up a strategy and the right infrastructure for enabling such data-driv...

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Main Authors: Soo-Yon Kim, Steffen Hillemacher, Max Kocher, Bernhard Rumpe, Sandra Geisler
Format: Article
Language:English
Published: Ubiquity Press 2024-12-01
Series:Data Science Journal
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Online Access:https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1763
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author Soo-Yon Kim
Steffen Hillemacher
Max Kocher
Bernhard Rumpe
Sandra Geisler
author_facet Soo-Yon Kim
Steffen Hillemacher
Max Kocher
Bernhard Rumpe
Sandra Geisler
author_sort Soo-Yon Kim
collection DOAJ
description In the past years, there has been an increased interest in sharing and reusing research data. While the importance of sharing data is urgent for enabling collaboration, many research projects are currently struggling with setting up a strategy and the right infrastructure for enabling such data-driven collaboration among the project’s researchers. Through an analysis of the Cluster of Excellence project Internet of Production as a use case, we have found that to enable researchers to share and find research data, a suitable platform is needed, as well as processes that smoothly blend into existing research data management practices. We argue that leveraging data management plans from a medium of documentation to a dynamic knowledge source enhances overview and discoverability of data, while integrating easily into day-to-day workflows of researchers. We present a tool, the Dataset Finder, which is built on the basis of data management plans, and allows users to intuitively query available datasets. The current functionalities of the tools are discussed, results of a preliminary evaluation, as well as potential future features.
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institution Kabale University
issn 1683-1470
language English
publishDate 2024-12-01
publisher Ubiquity Press
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series Data Science Journal
spelling doaj-art-23abb5536d1e48aaaa972e952c819c812025-01-08T07:55:16ZengUbiquity PressData Science Journal1683-14702024-12-0123585810.5334/dsj-2024-0581763The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data DiscoverabilitySoo-Yon Kim0https://orcid.org/0000-0001-5975-0031Steffen Hillemacher1https://orcid.org/0000-0002-6819-9031Max Kocher2https://orcid.org/0000-0001-9801-0300Bernhard Rumpe3https://orcid.org/0000-0002-2147-1966Sandra Geisler4https://orcid.org/0000-0002-8970-6282Data Stream Management and Analysis, RWTH Aachen University, AachenData Stream Management and Analysis, RWTH Aachen University, AachenData Stream Management and Analysis, RWTH Aachen University, AachenSoftware Engineering, RWTH Aachen University, AachenData Stream Management and Analysis, RWTH Aachen University, AachenIn the past years, there has been an increased interest in sharing and reusing research data. While the importance of sharing data is urgent for enabling collaboration, many research projects are currently struggling with setting up a strategy and the right infrastructure for enabling such data-driven collaboration among the project’s researchers. Through an analysis of the Cluster of Excellence project Internet of Production as a use case, we have found that to enable researchers to share and find research data, a suitable platform is needed, as well as processes that smoothly blend into existing research data management practices. We argue that leveraging data management plans from a medium of documentation to a dynamic knowledge source enhances overview and discoverability of data, while integrating easily into day-to-day workflows of researchers. We present a tool, the Dataset Finder, which is built on the basis of data management plans, and allows users to intuitively query available datasets. The current functionalities of the tools are discussed, results of a preliminary evaluation, as well as potential future features.https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1763data management plansdata findabilitydata discoverabilitydata sharingdata reuseresearch data management
spellingShingle Soo-Yon Kim
Steffen Hillemacher
Max Kocher
Bernhard Rumpe
Sandra Geisler
The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
Data Science Journal
data management plans
data findability
data discoverability
data sharing
data reuse
research data management
title The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
title_full The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
title_fullStr The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
title_full_unstemmed The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
title_short The Dataset Finder: A Tool Utilizing Data Management Plans as a Key to Data Discoverability
title_sort dataset finder a tool utilizing data management plans as a key to data discoverability
topic data management plans
data findability
data discoverability
data sharing
data reuse
research data management
url https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1763
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