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An interactive fitness-for-use data completeness tool to assess activity tracker data.
Cho, Sylvia; Ensari, Ipek; Elhadad, Noémie; Weng, Chunhua; Radin, Jennifer M; Bent, Brinnae; Desai, Pooja; Natarajan, Karthik.
Afiliación
  • Cho S; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Ensari I; Department of Artificial Intelligence and Human Health, Icahn School of Medicine, New York, New York, USA.
  • Elhadad N; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Weng C; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Radin JM; Data Science Institute, Columbia University, New York, New York, USA.
  • Bent B; Department of Biomedical Informatics, Columbia University, New York, New York, USA.
  • Desai P; Data Science Institute, Columbia University, New York, New York, USA.
  • Natarajan K; Scripps Research Translational Institute, La Jolla, California, USA.
J Am Med Inform Assoc ; 29(12): 2032-2040, 2022 11 14.
Article en En | MEDLINE | ID: mdl-36173371
OBJECTIVE: To design and evaluate an interactive data quality (DQ) characterization tool focused on fitness-for-use completeness measures to support researchers' assessment of a dataset. MATERIALS AND METHODS: Design requirements were identified through a conceptual framework on DQ, literature review, and interviews. The prototype of the tool was developed based on the requirements gathered and was further refined by domain experts. The Fitness-for-Use Tool was evaluated through a within-subjects controlled experiment comparing it with a baseline tool that provides information on missing data based on intrinsic DQ measures. The tools were evaluated on task performance and perceived usability. RESULTS: The Fitness-for-Use Tool allows users to define data completeness by customizing the measures and its thresholds to fit their research task and provides a data summary based on the customized definition. Using the Fitness-for-Use Tool, study participants were able to accurately complete fitness-for-use assessment in less time than when using the Intrinsic DQ Tool. The study participants perceived that the Fitness-for-Use Tool was more useful in determining the fitness-for-use of a dataset than the Intrinsic DQ Tool. DISCUSSION: Incorporating fitness-for-use measures in a DQ characterization tool could provide data summary that meets researchers needs. The design features identified in this study has potential to be applied to other biomedical data types. CONCLUSION: A tool that summarizes a dataset in terms of fitness-for-use dimensions and measures specific to a research question supports dataset assessment better than a tool that only presents information on intrinsic DQ measures.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exactitud de los Datos / Monitores de Ejercicio Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exactitud de los Datos / Monitores de Ejercicio Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido