Which methods are the most effective in enabling novice users to participate in ontology creation? A usability study
Autor: | Bruce A. Ford, James Macklin, Xingyi Yang, Hsin-Liang (Oliver) Chen, Zuleima Cota, Hong Cui, Julian R. Starr, Anton A. Reznicek, Limin Zhang |
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Rok vydání: | 2021 |
Předmět: |
0303 health sciences
Data curation End user Test data generation business.industry 030302 biochemistry & molecular biology Interoperability Usability Ontology (information science) Wizard General Biochemistry Genetics and Molecular Biology Task (project management) World Wide Web 03 medical and health sciences Gene Ontology Humans AcademicSubjects/SCI00960 Original Article General Agricultural and Biological Sciences business Software 030304 developmental biology Information Systems |
Zdroj: | Database: The Journal of Biological Databases and Curation |
ISSN: | 1758-0463 |
Popis: | Producing findable, accessible, interoperable and reusable (FAIR) data cannot be accomplished solely by data curators in all disciplines. In biology, we have shown that phenotypic data curation is not only costly, but it is burdened with inter-curator variation. We intend to propose a software platform that would enable all data producers, including authors of scientific publications, to produce ontologized data at the time of publication. Working toward this goal, we need to identify ontology construction methods that are preferred by end users. Here, we employ two usability studies to evaluate effectiveness, efficiency and user satisfaction with a set of four methods that allow an end user to add terms and their relations to an ontology. Thirty-three participants took part in a controlled experiment where they evaluated the four methods (Quick Form, Wizard, WebProtégé and Wikidata) after watching demonstration videos and completing a hands-on task. Another think-aloud study was conducted with three professional botanists. The efficiency effectiveness and user confidence in the methods are clearly revealed through statistical and content analyses of participants’ comments. Quick Form, Wizard and WebProtégé offer distinct strengths that would benefit our author-driven FAIR data generation system. Features preferred by the participants will guide the design of future iterations. |
Databáze: | OpenAIRE |
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