standards > terminology artifact > DOI:10.25504/FAIRsharing.5970hq


ready 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.

Homepage https://github.com/NCEAS/oboe/

Developed in United States

Created in 2006

Taxonomic range







How to cite this record FAIRsharing.org: OBOE; OBOE; DOI: https://doi.org/10.25504/FAIRsharing.5970hq; Last edited: Feb. 22, 2018, 2:18 p.m.; Last accessed: Nov 21 2018 5:50 p.m.


Record updated: Dec. 1, 2016, 1:42 p.m. by The FAIRsharing Team.

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Support

General

support email semtools@ecoinformatics.org
help https://github.com/NCEAS/oboe/issues

Additional Information

Contact Joshua Madin

Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use





Publications

An ontology for describing and synthesizing ecological observation data.

Madin, J., S. Bowers, M. Schildhauer, S. Krivov, D. Pennington, and F. Villa.
Ecological Informatics 2:279–296. 2007

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Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined


Implementing Databases (1)
The Knowledge Network for Biocomplexity
An international repository intended to facilitate ecological and environmental research. For scientists, the KNB is an efficient way to share, discover, access and interpret complex ecological data. Due to rich contextual information provided with KNB data, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The foundation of the KNB is the rich, detailed metadata provided by researchers that collect data, 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.

Implementing Policies

This record is not implemented by any policy.


Credit

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