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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Format: | Article |
Language: | English |
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Ubiquity Press
2024-12-01
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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. |
format | Article |
id | doaj-art-23abb5536d1e48aaaa972e952c819c81 |
institution | Kabale University |
issn | 1683-1470 |
language | English |
publishDate | 2024-12-01 |
publisher | Ubiquity Press |
record_format | Article |
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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