Developing community phenotype ontologies: Understanding users' preferences

Limin Zhang; Zuleima Cota; Hong Cui; Hsin liang Chen; Bruce Ford; Joel Sach; Jocelyn Pender; James Macklin; Anton Reznicek; Julian Starr

doi:10.1002/pra2.199

Developing community phenotype ontologies: Understanding users' preferences

Limin Zhang, Zuleima Cota, Hong Cui, Hsin liang Chen, Bruce Ford, Joel Sach, Jocelyn Pender, James Macklin, Anton Reznicek, Julian Starr

Information, School of

Research output: Contribution to journal › Article › peer-review

Abstract

This poster reports preliminary user-testing results on four different methods to add terms to a phenotype ontology. A total of 31 graduate students from UA iSchool and three senior botanists participated in two different experiments. Results suggest the Quick Form and WebProtege are preferred by biologists and WikiData and Wizard are not preferred for different reasons.

Original language	English (US)
Pages (from-to)	838-840
Number of pages	3
Journal	Proceedings of the Association for Information Science and Technology
Volume	56
Issue number	1
DOIs	https://doi.org/10.1002/pra2.199
State	Published - Jan 2019

Keywords

Ontology construction
biodiversity informatics
phenotype data management
user studies

ASJC Scopus subject areas

General Computer Science
Library and Information Sciences

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10.1002/pra2.199

Cite this

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AU - Ford, Bruce

AU - Sach, Joel

AU - Pender, Jocelyn

AU - Macklin, James

AU - Reznicek, Anton

AU - Starr, Julian

N1 - Publisher Copyright: Author(s) retain copyright, but ASIS&T receives an exclusive publication license

PY - 2019/1

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N2 - This poster reports preliminary user-testing results on four different methods to add terms to a phenotype ontology. A total of 31 graduate students from UA iSchool and three senior botanists participated in two different experiments. Results suggest the Quick Form and WebProtege are preferred by biologists and WikiData and Wizard are not preferred for different reasons.

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Developing community phenotype ontologies: Understanding users' preferences

Abstract

Keywords

ASJC Scopus subject areas

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