The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research
Modern microbial and ecosystem sciences require diverse interdisciplinary teams that are often challenged in “speaking” to one another due to different languages and data product types. Here we introduce the IsoGenie Database (IsoGenieDB; https://isogenie-db.asc.Ohio-state.edu/), a de novo developed...
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ftqueensland:oai:eprints.qut.edu.au:209441 2024-05-19T07:36:25+00:00 The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research Bolduc, Benjamin Hodgkins, Suzanne B. Varner, Ruth K. Crill, Patrick M. McCalley, Carmody K. Chanton, Jeffrey P. Tyson, Gene W. Riley, William J. Palace, Michael Duhaime, Melissa B. Hough, Moira A. Saleska, Scott R. Sullivan, Matthew B. Rich, Virginia I. other, and Woodcroft, Ben 2020 application/pdf https://eprints.qut.edu.au/209441/ unknown PeerJ Inc. https://eprints.qut.edu.au/209441/1/81225986.pdf doi:10.7717/peerj.9467 Bolduc, Benjamin, Hodgkins, Suzanne B., Varner, Ruth K., Crill, Patrick M., McCalley, Carmody K., Chanton, Jeffrey P., Tyson, Gene W., Riley, William J., Palace, Michael, Duhaime, Melissa B., Hough, Moira A., Saleska, Scott R., Sullivan, Matthew B., Rich, Virginia I., other, and, & Woodcroft, Ben (2020) The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research. PeerJ, 8, Article number: e9467. https://eprints.qut.edu.au/209441/ free_to_read http://creativecommons.org/licenses/by/4.0/ 2020 The Author(s) This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au PeerJ Data management Database Ecosystem science Graph database Information analysis Interdisciplinary IsoGenie project Stordalen mire Contribution to Journal 2020 ftqueensland https://doi.org/10.7717/peerj.9467 2024-04-30T23:51:29Z Modern microbial and ecosystem sciences require diverse interdisciplinary teams that are often challenged in “speaking” to one another due to different languages and data product types. Here we introduce the IsoGenie Database (IsoGenieDB; https://isogenie-db.asc.Ohio-state.edu/), a de novo developed data management and exploration platform, as a solution to this challenge of accurately representing and integrating heterogenous environmental and microbial data across ecosystem scales. The IsoGenieDB is a public and private data infrastructure designed to store and query data generated by the IsoGenie Project, a ~10 year DOE-funded project focused on discovering ecosystem climate feedbacks in a thawing permafrost landscape. The IsoGenieDB provides (i) a platform for IsoGenie Project members to explore the project's interdisciplinary datasets across scales through the inherent relationships among data entities, (ii) a framework to consolidate and harmonize the datasets needed by the team's modelers, and (iii) a public venue that leverages the same spatially explicit, disciplinarily integrated data structure to share published datasets. The IsoGenieDB is also being expanded to cover the NASA-funded Archaea to Atmosphere (A2A) project, which scales the findings of IsoGenie to a broader suite of Arctic peatlands, via the umbrella A2A Database (A2A-DB). The IsoGenieDB's expandability and flexible architecture allow it to serve as an example ecosystems database. Article in Journal/Newspaper Arctic permafrost Queensland University of Technology: QUT ePrints PeerJ 8 e9467 |
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Open Polar |
collection |
Queensland University of Technology: QUT ePrints |
op_collection_id |
ftqueensland |
language |
unknown |
topic |
Data management Database Ecosystem science Graph database Information analysis Interdisciplinary IsoGenie project Stordalen mire |
spellingShingle |
Data management Database Ecosystem science Graph database Information analysis Interdisciplinary IsoGenie project Stordalen mire Bolduc, Benjamin Hodgkins, Suzanne B. Varner, Ruth K. Crill, Patrick M. McCalley, Carmody K. Chanton, Jeffrey P. Tyson, Gene W. Riley, William J. Palace, Michael Duhaime, Melissa B. Hough, Moira A. Saleska, Scott R. Sullivan, Matthew B. Rich, Virginia I. other, and Woodcroft, Ben The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research |
topic_facet |
Data management Database Ecosystem science Graph database Information analysis Interdisciplinary IsoGenie project Stordalen mire |
description |
Modern microbial and ecosystem sciences require diverse interdisciplinary teams that are often challenged in “speaking” to one another due to different languages and data product types. Here we introduce the IsoGenie Database (IsoGenieDB; https://isogenie-db.asc.Ohio-state.edu/), a de novo developed data management and exploration platform, as a solution to this challenge of accurately representing and integrating heterogenous environmental and microbial data across ecosystem scales. The IsoGenieDB is a public and private data infrastructure designed to store and query data generated by the IsoGenie Project, a ~10 year DOE-funded project focused on discovering ecosystem climate feedbacks in a thawing permafrost landscape. The IsoGenieDB provides (i) a platform for IsoGenie Project members to explore the project's interdisciplinary datasets across scales through the inherent relationships among data entities, (ii) a framework to consolidate and harmonize the datasets needed by the team's modelers, and (iii) a public venue that leverages the same spatially explicit, disciplinarily integrated data structure to share published datasets. The IsoGenieDB is also being expanded to cover the NASA-funded Archaea to Atmosphere (A2A) project, which scales the findings of IsoGenie to a broader suite of Arctic peatlands, via the umbrella A2A Database (A2A-DB). The IsoGenieDB's expandability and flexible architecture allow it to serve as an example ecosystems database. |
format |
Article in Journal/Newspaper |
author |
Bolduc, Benjamin Hodgkins, Suzanne B. Varner, Ruth K. Crill, Patrick M. McCalley, Carmody K. Chanton, Jeffrey P. Tyson, Gene W. Riley, William J. Palace, Michael Duhaime, Melissa B. Hough, Moira A. Saleska, Scott R. Sullivan, Matthew B. Rich, Virginia I. other, and Woodcroft, Ben |
author_facet |
Bolduc, Benjamin Hodgkins, Suzanne B. Varner, Ruth K. Crill, Patrick M. McCalley, Carmody K. Chanton, Jeffrey P. Tyson, Gene W. Riley, William J. Palace, Michael Duhaime, Melissa B. Hough, Moira A. Saleska, Scott R. Sullivan, Matthew B. Rich, Virginia I. other, and Woodcroft, Ben |
author_sort |
Bolduc, Benjamin |
title |
The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research |
title_short |
The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research |
title_full |
The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research |
title_fullStr |
The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research |
title_full_unstemmed |
The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research |
title_sort |
isogenie database: an interdisciplinary data management solution for ecosystems biology and environmental research |
publisher |
PeerJ Inc. |
publishDate |
2020 |
url |
https://eprints.qut.edu.au/209441/ |
genre |
Arctic permafrost |
genre_facet |
Arctic permafrost |
op_source |
PeerJ |
op_relation |
https://eprints.qut.edu.au/209441/1/81225986.pdf doi:10.7717/peerj.9467 Bolduc, Benjamin, Hodgkins, Suzanne B., Varner, Ruth K., Crill, Patrick M., McCalley, Carmody K., Chanton, Jeffrey P., Tyson, Gene W., Riley, William J., Palace, Michael, Duhaime, Melissa B., Hough, Moira A., Saleska, Scott R., Sullivan, Matthew B., Rich, Virginia I., other, and, & Woodcroft, Ben (2020) The IsoGenie database: An interdisciplinary data management solution for ecosystems biology and environmental research. PeerJ, 8, Article number: e9467. https://eprints.qut.edu.au/209441/ |
op_rights |
free_to_read http://creativecommons.org/licenses/by/4.0/ 2020 The Author(s) This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
op_doi |
https://doi.org/10.7717/peerj.9467 |
container_title |
PeerJ |
container_volume |
8 |
container_start_page |
e9467 |
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