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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Published in:PeerJ
Main Authors: Benjamin Bolduc, Suzanne B. Hodgkins, Ruth K. Varner, Patrick M. Crill, Carmody K. McCalley, Jeffrey P. Chanton, Gene W. Tyson, William J. Riley, Michael Palace, Melissa B. Duhaime, Moira A. Hough, IsoGenie Project Coordinators, IsoGenie Project Team, A2A Project Team, Scott R. Saleska, Matthew B. Sullivan, Virginia I. Rich
Format: Article in Journal/Newspaper
Language:English
Published: PeerJ Inc. 2020
Subjects:
R
Online Access:https://doi.org/10.7717/peerj.9467
https://doaj.org/article/0208dcb2094a436984d071aaa6e147f5
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spelling ftdoajarticles:oai:doaj.org/article:0208dcb2094a436984d071aaa6e147f5 2024-01-07T09:41:46+01:00 The IsoGenie database: an interdisciplinary data management solution for ecosystems biology and environmental research Benjamin Bolduc Suzanne B. Hodgkins Ruth K. Varner Patrick M. Crill Carmody K. McCalley Jeffrey P. Chanton Gene W. Tyson William J. Riley Michael Palace Melissa B. Duhaime Moira A. Hough IsoGenie Project Coordinators IsoGenie Project Team A2A Project Team Scott R. Saleska Matthew B. Sullivan Virginia I. Rich 2020-08-01T00:00:00Z https://doi.org/10.7717/peerj.9467 https://doaj.org/article/0208dcb2094a436984d071aaa6e147f5 EN eng PeerJ Inc. https://peerj.com/articles/9467.pdf https://peerj.com/articles/9467/ https://doaj.org/toc/2167-8359 doi:10.7717/peerj.9467 2167-8359 https://doaj.org/article/0208dcb2094a436984d071aaa6e147f5 PeerJ, Vol 8, p e9467 (2020) Graph database Data management Ecosystem science Interdisciplinary Information analysis Database Medicine R Biology (General) QH301-705.5 article 2020 ftdoajarticles https://doi.org/10.7717/peerj.9467 2023-12-10T01:51:05Z 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 Directory of Open Access Journals: DOAJ Articles Arctic PeerJ 8 e9467
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Graph database
Data management
Ecosystem science
Interdisciplinary
Information analysis
Database
Medicine
R
Biology (General)
QH301-705.5
spellingShingle Graph database
Data management
Ecosystem science
Interdisciplinary
Information analysis
Database
Medicine
R
Biology (General)
QH301-705.5
Benjamin Bolduc
Suzanne B. Hodgkins
Ruth K. Varner
Patrick M. Crill
Carmody K. McCalley
Jeffrey P. Chanton
Gene W. Tyson
William J. Riley
Michael Palace
Melissa B. Duhaime
Moira A. Hough
IsoGenie Project Coordinators
IsoGenie Project Team
A2A Project Team
Scott R. Saleska
Matthew B. Sullivan
Virginia I. Rich
The IsoGenie database: an interdisciplinary data management solution for ecosystems biology and environmental research
topic_facet Graph database
Data management
Ecosystem science
Interdisciplinary
Information analysis
Database
Medicine
R
Biology (General)
QH301-705.5
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 Benjamin Bolduc
Suzanne B. Hodgkins
Ruth K. Varner
Patrick M. Crill
Carmody K. McCalley
Jeffrey P. Chanton
Gene W. Tyson
William J. Riley
Michael Palace
Melissa B. Duhaime
Moira A. Hough
IsoGenie Project Coordinators
IsoGenie Project Team
A2A Project Team
Scott R. Saleska
Matthew B. Sullivan
Virginia I. Rich
author_facet Benjamin Bolduc
Suzanne B. Hodgkins
Ruth K. Varner
Patrick M. Crill
Carmody K. McCalley
Jeffrey P. Chanton
Gene W. Tyson
William J. Riley
Michael Palace
Melissa B. Duhaime
Moira A. Hough
IsoGenie Project Coordinators
IsoGenie Project Team
A2A Project Team
Scott R. Saleska
Matthew B. Sullivan
Virginia I. Rich
author_sort Benjamin Bolduc
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://doi.org/10.7717/peerj.9467
https://doaj.org/article/0208dcb2094a436984d071aaa6e147f5
geographic Arctic
geographic_facet Arctic
genre Arctic
permafrost
genre_facet Arctic
permafrost
op_source PeerJ, Vol 8, p e9467 (2020)
op_relation https://peerj.com/articles/9467.pdf
https://peerj.com/articles/9467/
https://doaj.org/toc/2167-8359
doi:10.7717/peerj.9467
2167-8359
https://doaj.org/article/0208dcb2094a436984d071aaa6e147f5
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container_title PeerJ
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