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

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)838-840
Number of pages3
JournalProceedings of the Association for Information Science and Technology
Volume56
Issue number1
DOIs
StatePublished - Jan 1 2019

Keywords

  • biodiversity informatics
  • Ontology construction
  • phenotype data management
  • user studies

ASJC Scopus subject areas

  • Computer Science(all)
  • Library and Information Sciences

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  • Cite this

    Zhang, L., Cota, Z., Cui, H., Chen, H. L., Ford, B., Sach, J., Pender, J., Macklin, J., Reznicek, A., & Starr, J. (2019). Developing community phenotype ontologies: Understanding users' preferences. Proceedings of the Association for Information Science and Technology, 56(1), 838-840. https://doi.org/10.1002/pra2.199