standards > terminology artifact > DOI:10.25504/FAIRsharing.5970hq
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ready OBOE: The Extensible Observation Ontology

Abbreviation: OBOE

General Information
OBOE is a suite of OWL-DL ontologies for modeling and representing scientific observations. The OBOE model is designed as a generic data model with a number of constructs for defining observational data. Key features of OBOE include its ability to represent a wide range of measurement types, a mechanism for specifying measurement context, and the ability to associate the type of entity (e.g., sample, organism, etc.) being measured. OBOE is being used and developed within the Semtools project for describing a wide variety of ecological data stored within the Knowledge Network for Biodiversity (KNB) as well as extensions for ontology-based data annotation and discovery within the MetaCat software infrastructure.

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Countries that developed this resource United States

Created in 2006

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How to cite this record OBOE; OBOE: The Extensible Observation Ontology; DOI:; Last edited: July 14, 2021, 11:56 a.m.; Last accessed: Oct 26 2021 8:44 a.m.

Publication for citation  An ontology for describing and synthesizing ecological observation data. Madin, J., S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa.; Ecological Informatics ; 2007.

This record is maintained by bryce

Record updated: July 14, 2021, 11:56 a.m. by The FAIRsharing Team.

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An ontology for describing and synthesizing ecological observation data.

Madin, J., S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa.
Ecological Informatics 2007

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Related Databases (2)
Knowledge Network for Biocomplexity
The Knowledge Network for Biocomplexity (KNB) is an international repository intended to facilitate ecological and environmental research. KNB was created to share, discover, access and interpret complex ecological data. Contextual information provided with KNB data allows scientists to integrate and analyze data. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the detailed metadata provided by researchers, which promotes both automated and manual integration of data into new projects. As part of the KNB effort, data management software is developed in a free and open source manner, so other groups can build upon the tools. The KNB is powered by the Metacat data management system, and is optimized for handling data sets described using the Ecological Metadata Language, but can store any XML-based metadata document.

DataONE is a community driven project providing access to data across multiple member repositories, supporting enhanced search and discovery of Earth and environmental data.

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  • This record is maintained by bryce



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