Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2)
Earth Science researchers require access to integrated, cross-disciplinary data in order to answer critical research questions. Partially due to these science drivers, it is common for disciplinary data systems to expand from their original scope in order to accommodate collaborative research. The r...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Ubiquity Press
2017-02-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/605 |
| _version_ | 1811301784089526272 |
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| author | Leslie Hsu Emilio Mayorga Jeffery Horsburgh Megan Carter Kerstin Lehnert Susan Brantley |
| author_facet | Leslie Hsu Emilio Mayorga Jeffery Horsburgh Megan Carter Kerstin Lehnert Susan Brantley |
| author_sort | Leslie Hsu |
| collection | DOAJ |
| description | Earth Science researchers require access to integrated, cross-disciplinary data in order to answer critical research questions. Partially due to these science drivers, it is common for disciplinary data systems to expand from their original scope in order to accommodate collaborative research. The result is multiple disparate databases with overlapping but incompatible data. In order to enable more complete data integration and analysis, the Observations Data Model Version 2 (ODM2) was developed to be a general information model, with one of its major goals to integrate data collected by 'in situ' sensors with those by 'ex-situ' analyses of field specimens. Four use cases with different science drivers and disciplines have adopted ODM2 because of benefits to their users. The disciplines behind the four cases are diverse – hydrology, rock geochemistry, soil geochemistry, and biogeochemistry. For each case, we outline the benefits, challenges, and rationale for adopting ODM2. In each case, the decision to implement ODM2 was made to increase interoperability and expand data and metadata capabilities. One of the common benefits was the ability to use the flexible handling and comprehensive description of specimens and data collection sites in ODM2’s sampling feature concept. We also summarize best practices for implementing ODM2 based on the experience of these initial adopters. The descriptions here should help other potential adopters of ODM2 implement their own instances or to modify ODM2 to suit their needs. |
| first_indexed | 2024-04-13T07:15:06Z |
| format | Article |
| id | doaj.art-ec7b69e245984b3c8a8baebceff8d55e |
| institution | Directory Open Access Journal |
| issn | 1683-1470 |
| language | English |
| last_indexed | 2024-04-13T07:15:06Z |
| publishDate | 2017-02-01 |
| publisher | Ubiquity Press |
| record_format | Article |
| series | Data Science Journal |
| spelling | doaj.art-ec7b69e245984b3c8a8baebceff8d55e2022-12-22T02:56:46ZengUbiquity PressData Science Journal1683-14702017-02-0116110.5334/dsj-2017-004607Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2)Leslie Hsu0Emilio Mayorga1Jeffery Horsburgh2Megan Carter3Kerstin Lehnert4Susan Brantley5Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964Applied Physics Laboratory, University of Washington, 1013 NE 40th Street, Seattle, WA 98105-6698Department of Civil and Environmental Engineering and Utah Water Research Laboratory, Utah State University; 8200 Old Main Hill, Logan, UT 84322-8200Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, NY 10964Department of Geosciences, Pennsylvania State University, University Park, PA 16802,Earth Science researchers require access to integrated, cross-disciplinary data in order to answer critical research questions. Partially due to these science drivers, it is common for disciplinary data systems to expand from their original scope in order to accommodate collaborative research. The result is multiple disparate databases with overlapping but incompatible data. In order to enable more complete data integration and analysis, the Observations Data Model Version 2 (ODM2) was developed to be a general information model, with one of its major goals to integrate data collected by 'in situ' sensors with those by 'ex-situ' analyses of field specimens. Four use cases with different science drivers and disciplines have adopted ODM2 because of benefits to their users. The disciplines behind the four cases are diverse – hydrology, rock geochemistry, soil geochemistry, and biogeochemistry. For each case, we outline the benefits, challenges, and rationale for adopting ODM2. In each case, the decision to implement ODM2 was made to increase interoperability and expand data and metadata capabilities. One of the common benefits was the ability to use the flexible handling and comprehensive description of specimens and data collection sites in ODM2’s sampling feature concept. We also summarize best practices for implementing ODM2 based on the experience of these initial adopters. The descriptions here should help other potential adopters of ODM2 implement their own instances or to modify ODM2 to suit their needs.http://datascience.codata.org/articles/605observationsinformation modeldata managementinteroperabilitycyberinfrastructure |
| spellingShingle | Leslie Hsu Emilio Mayorga Jeffery Horsburgh Megan Carter Kerstin Lehnert Susan Brantley Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2) Data Science Journal observations information model data management interoperability cyberinfrastructure |
| title | Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2) |
| title_full | Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2) |
| title_fullStr | Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2) |
| title_full_unstemmed | Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2) |
| title_short | Enhancing Interoperability and Capabilities of Earth Science Data using the Observations Data Model 2 (ODM2) |
| title_sort | enhancing interoperability and capabilities of earth science data using the observations data model 2 odm2 |
| topic | observations information model data management interoperability cyberinfrastructure |
| url | http://datascience.codata.org/articles/605 |
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