DataStaR: Using the Semantic Web approach for Data Curation
In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Edinburgh
2011-10-01
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| Series: | International Journal of Digital Curation |
| Online Access: | http://www.ijdc.net/index.php/ijdc/article/view/192 |
| _version_ | 1818852385582219264 |
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| author | Huda Khan Brian Caruso Jon Corson-Rikert Dianne Dietrich Brian Lowe Gail Steinhart |
| author_facet | Huda Khan Brian Caruso Jon Corson-Rikert Dianne Dietrich Brian Lowe Gail Steinhart |
| author_sort | Huda Khan |
| collection | DOAJ |
| description | In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in digital forms and providing the digital infrastructure for sharing data and metadata pose several challenges. This paper reviews the motivations behind and design of the Data Staging Repository (DataStaR) platform that targets specific portions of the research data curation lifecycle: data and metadata capture and sharing prior to publication, and publication to permanent archival repositories. The goal of DataStaR is to support both the sharing and publishing of data while at the same time enabling metadata creation without imposing additional overheads for researchers and librarians. Furthermore, DataStaR is intended to provide cross-disciplinary support by being able to integrate different domain-specific metadata schemas according to researchers’ needs. DataStaR’s strategy of a usable interface coupled with metadata flexibility allows for a more scaleable solution for data sharing, publication, and metadata reuse. |
| first_indexed | 2024-12-19T07:20:05Z |
| format | Article |
| id | doaj.art-180010ff4ff140eb915641e7071d1643 |
| institution | Directory Open Access Journal |
| issn | 1746-8256 |
| language | English |
| last_indexed | 2024-12-19T07:20:05Z |
| publishDate | 2011-10-01 |
| publisher | University of Edinburgh |
| record_format | Article |
| series | International Journal of Digital Curation |
| spelling | doaj.art-180010ff4ff140eb915641e7071d16432022-12-21T20:30:57ZengUniversity of EdinburghInternational Journal of Digital Curation1746-82562011-10-016220922110.2218/ijdc.v6i2.197180DataStaR: Using the Semantic Web approach for Data CurationHuda KhanBrian CarusoJon Corson-RikertDianne DietrichBrian LoweGail SteinhartIn disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in digital forms and providing the digital infrastructure for sharing data and metadata pose several challenges. This paper reviews the motivations behind and design of the Data Staging Repository (DataStaR) platform that targets specific portions of the research data curation lifecycle: data and metadata capture and sharing prior to publication, and publication to permanent archival repositories. The goal of DataStaR is to support both the sharing and publishing of data while at the same time enabling metadata creation without imposing additional overheads for researchers and librarians. Furthermore, DataStaR is intended to provide cross-disciplinary support by being able to integrate different domain-specific metadata schemas according to researchers’ needs. DataStaR’s strategy of a usable interface coupled with metadata flexibility allows for a more scaleable solution for data sharing, publication, and metadata reuse.http://www.ijdc.net/index.php/ijdc/article/view/192 |
| spellingShingle | Huda Khan Brian Caruso Jon Corson-Rikert Dianne Dietrich Brian Lowe Gail Steinhart DataStaR: Using the Semantic Web approach for Data Curation International Journal of Digital Curation |
| title | DataStaR: Using the Semantic Web approach for Data Curation |
| title_full | DataStaR: Using the Semantic Web approach for Data Curation |
| title_fullStr | DataStaR: Using the Semantic Web approach for Data Curation |
| title_full_unstemmed | DataStaR: Using the Semantic Web approach for Data Curation |
| title_short | DataStaR: Using the Semantic Web approach for Data Curation |
| title_sort | datastar using the semantic web approach for data curation |
| url | http://www.ijdc.net/index.php/ijdc/article/view/192 |
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