Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation
The National Science Foundation’s Arctic Data Center is the primary data repository for NSF-funded research conducted in the Arctic. There are major challenges in discovering and interpreting resources in a repository containing data as heterogeneous and interdisciplinary as those in the Arctic Data...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2024-01-01
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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/1564 |
| _version_ | 1797315812977016832 |
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| author | Steven S. Chong Mark Schildhauer Margaret O’Brien Bryce Mecum Matthew B. Jones |
| author_facet | Steven S. Chong Mark Schildhauer Margaret O’Brien Bryce Mecum Matthew B. Jones |
| author_sort | Steven S. Chong |
| collection | DOAJ |
| description | The National Science Foundation’s Arctic Data Center is the primary data repository for NSF-funded research conducted in the Arctic. There are major challenges in discovering and interpreting resources in a repository containing data as heterogeneous and interdisciplinary as those in the Arctic Data Center. This paper reports on advances in cyberinfrastructure at the Arctic Data Center that help address these issues by leveraging semantic technologies that enhance the repository’s adherence to the FAIR data principles and improve the Findability, Accessibility, Interoperability, and Reusability of digital resources in the repository. We describe the Arctic Data Center’s improvements. We use semantic annotation to bind metadata about Arctic data sets with concepts in web-accessible ontologies. The Arctic Data Center’s implementation of a semantic annotation mechanism is accompanied by the development of an extended search interface that increases the findability of data by allowing users to search for specific, broader, and narrower meanings of measurement descriptions, as well as through their potential synonyms. Based on research carried out by the DataONE project, we evaluated the potential impact of this approach, regarding the accessibility, interoperability, and reusability of measurement data. Arctic research often benefits from having additional data, typically from multiple, heterogeneous sources, that complement and extend the bases – spatially, temporally, or thematically – for understanding Arctic phenomena. These relevant data resources must be ‘found’, and ‘harmonized’ prior to integration and analysis. The findings of a case study indicated that the semantic annotation of measurement data enhances the capabilities of researchers to accomplish these tasks. |
| first_indexed | 2024-03-08T03:09:16Z |
| format | Article |
| id | doaj.art-c80aed5e23544a3492f73c40668b598d |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-03-08T03:09:16Z |
| publishDate | 2024-01-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-c80aed5e23544a3492f73c40668b598d2024-02-13T07:31:12ZengUbiquity PressData Science Journal1683-14702024-01-01232210.5334/dsj-2024-0021451Enhancing the FAIRness of Arctic Research Data Through Semantic AnnotationSteven S. Chong0https://orcid.org/0000-0003-1264-1166Mark Schildhauer1https://orcid.org/0000-0003-0632-7576Margaret O’Brien2https://orcid.org/0000-0002-1693-8322Bryce Mecum3https://orcid.org/0000-0002-0381-3766Matthew B. Jones4https://orcid.org/0000-0003-0077-4738University of California Berkeley Library, University of California, Berkeley CANational Center for Ecological Analysis and Synthesis, University of California, Santa Barbara CAMarine Science Institute, University of California, Santa Barbara CANational Center for Ecological Analysis and Synthesis, University of California, Santa Barbara CANational Center for Ecological Analysis and Synthesis, University of California, Santa Barbara CAThe National Science Foundation’s Arctic Data Center is the primary data repository for NSF-funded research conducted in the Arctic. There are major challenges in discovering and interpreting resources in a repository containing data as heterogeneous and interdisciplinary as those in the Arctic Data Center. This paper reports on advances in cyberinfrastructure at the Arctic Data Center that help address these issues by leveraging semantic technologies that enhance the repository’s adherence to the FAIR data principles and improve the Findability, Accessibility, Interoperability, and Reusability of digital resources in the repository. We describe the Arctic Data Center’s improvements. We use semantic annotation to bind metadata about Arctic data sets with concepts in web-accessible ontologies. The Arctic Data Center’s implementation of a semantic annotation mechanism is accompanied by the development of an extended search interface that increases the findability of data by allowing users to search for specific, broader, and narrower meanings of measurement descriptions, as well as through their potential synonyms. Based on research carried out by the DataONE project, we evaluated the potential impact of this approach, regarding the accessibility, interoperability, and reusability of measurement data. Arctic research often benefits from having additional data, typically from multiple, heterogeneous sources, that complement and extend the bases – spatially, temporally, or thematically – for understanding Arctic phenomena. These relevant data resources must be ‘found’, and ‘harmonized’ prior to integration and analysis. The findings of a case study indicated that the semantic annotation of measurement data enhances the capabilities of researchers to accomplish these tasks.https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1564arctic research datadata discoveryfairknowledge modelingsemantic annotationdata repository |
| spellingShingle | Steven S. Chong Mark Schildhauer Margaret O’Brien Bryce Mecum Matthew B. Jones Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation Data Science Journal arctic research data data discovery fair knowledge modeling semantic annotation data repository |
| title | Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation |
| title_full | Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation |
| title_fullStr | Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation |
| title_full_unstemmed | Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation |
| title_short | Enhancing the FAIRness of Arctic Research Data Through Semantic Annotation |
| title_sort | enhancing the fairness of arctic research data through semantic annotation |
| topic | arctic research data data discovery fair knowledge modeling semantic annotation data repository |
| url | https://account.datascience.codata.org/index.php/up-j-dsj/article/view/1564 |
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