The IsoGenie database: an interdisciplinary data management solution for ecosystems biology and environmental research
Published in PeerJ, 2020
Bolduc, B.*, Hodgkins, S. B.*, Varner, R. K., Crill, P. M., McCalley, C. K., Chanton, J. P., Tyson, G. W., Riley, W. J., Palace, M., Duhaime, M. B., Hough, M. A., IsoGenie Project Coordinators, IsoGenie Project Team, A2A Project Team, Saleska, S. R., Sullivan, M. B., & Rich, V. I. (2020). The IsoGenie database: an interdisciplinary data management solution for ecosystems biology and environmental research. PeerJ, 8, e9467. *These authors contributed equally. https://doi.org/10.7717/peerj.9467
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.