standards > terminology artifact > DOI:10.25504/FAIRsharing.b9znd5


ready Informed Consent Ontology

Abbreviation: ICO


General Information
Informed Consent Ontology (ICO) represents the documentations and processes involved in informed consent. ICO aims to support informed consent data integration and reasoning in the clinical research space. The core terms of ICO covers informed consent forms, the component inside the informed consent form, and various informed consent processes.



How to cite this record FAIRsharing.org: ICO; Informed Consent Ontology; DOI: https://doi.org/10.25504/FAIRsharing.b9znd5; Last edited: Nov. 23, 2018, 11:27 a.m.; Last accessed: Dec 13 2018 5:21 p.m.


Record updated: Feb. 20, 2018, 2:22 p.m. by The FAIRsharing Team.

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Conditions of Use


Data Access




Publications

Development of a BFO-based Informed Consent Ontology (ICO)

Lin Y, Harris MR, Manion FJ, Eisenhauer E, Zhao B, Shi W, Karnovsky A, He Y
In: The 5th International Conference on Biomedical Ontologies (ICBO): 2014; Houston, Texas, USA, October 8-9, 2014. CEUR Workshop Proceedings, Page 84-86 2013


ICO Ontology Display

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Related Standards

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Models and Formats

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Identifier Schemas

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Implementing Databases (1)
OBO Foundry
The Open Biological and Biomedical Ontology (OBO) Foundry is a collective of ontology developers that are committed to collaboration and adherence to shared principles. The mission of the OBO Foundry is to develop a family of interoperable ontologies that are both logically well-formed and scientifically accurate. To achieve this, OBO Foundry participants voluntarily adhere to and contribute to the development of an evolving set of principles including open use, collaborative development, non-overlapping and strictly-scoped content, and common syntax and relations, based on ontology models that work well, such as the Gene Ontology (GO). The OBO Foundry is overseen by an Operations Committee with Editorial, Technical and Outreach working groups.

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Grant Number(s)

  • 2UL1TR000433-06 (National Center for Advancing Translational Sciences, NIH, USA)