standards > terminology artifact > DOI:10.25504/FAIRsharing.nwgynk
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ready eagle-i Research Resource Ontology

Abbreviation: ERO

General Information
A unique feature of the eagle-i software is that the data collection and search tools are completely driven by ontologies. These ontologies are a set of modules that are written in the OWL language and edited and managed using Protégé. Beginning in 2009, the eagle-i Research Resource Ontology (ERO) was developed alongside the eagle-i applications to model various biomedical research resources such as instruments, Core Facilities, protocols, reagents, animal models and biospecimens. It has now been integrated into the VIVO-ISF Ontology, which leverages and expands upon both the eagle-i and VIVO ontologies to create a semantic framework that describes not only scientific resources but research activities and clinical activities.

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How to cite this record ERO; eagle-i Research Resource Ontology; DOI:; Last edited: Aug. 12, 2019, 3:51 p.m.; Last accessed: Jan 26 2022 8:39 p.m.

Record updated: July 2, 2019, 10:07 a.m. by The FAIRsharing Team.

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No XSD schemas defined


Automating data citation: the eagle-i experience.

Alawini A,Chen L,Davidson SB,Da Silva NP,Silvello G
Proc ACM/IEEE Joint Conf Digit Libr 2018

View Paper (PubMed) View Publication

Research resources: curating the new eagle-i discovery system.

Vasilevsky N,Johnson T,Corday K,Torniai C,Brush M,Segerdell E,Wilson M,Shaffer C,Robinson D,Haendel M
Database (Oxford) 2012

View Paper (PubMed) View Publication

ERO Ontology Display

View in BioPortal.

Disclaimer: This widget assumes the availability of the ontology resources in the NCBO BioPortal.

View in OBO Foundry.

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Models and Formats

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Related 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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