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Quest markup for developing FAIR questionnaire modules for epidemiologic studies.

Daniel E Russ1, Nicole M Gerlanc2, Brian Shen2

  • 1Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Bethesda, MD, 20892, USA. daniel.russ@nih.gov.

BMC Medical Informatics and Decision Making
|October 26, 2023
PubMed
Summary
This summary is machine-generated.

We developed Quest, an open-source markup language for epidemiological study questionnaires. This facilitates reusable questionnaire modules and data interoperability, addressing challenges in web-based data collection.

Keywords:
Data collectionData commonsData scienceEpidemiologic methodsSurveys and questionnaires

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Area of Science:

  • Epidemiology
  • Health Informatics
  • Web Technologies

Background:

  • Online questionnaires are crucial for epidemiological studies.
  • Current limitations in open-source markup standards hinder collaborative development and reusability of web-based questionnaire modules.
  • Lack of interoperability prevents sharing of questionnaire modules across studies.

Purpose of the Study:

  • To develop an open-source markup language for questionnaire content and logic.
  • To create tools for real-time testing and visualization of questionnaire logic.
  • To improve the development, sharing, and reusability of epidemiological questionnaires.

Main Methods:

  • Developed 'Quest', an open-source markup language for questionnaires.
  • Created a real-time, in-browser renderer for testing logic (e.g., skip patterns).
  • Built a questionnaire development tool and an example web application embedding the renderer.

Main Results:

  • The Quest markup language specifies questionnaire content and logic in plain text.
  • The real-time renderer allows users to test logic and view data collection structure.
  • An example web application demonstrates the renderer's integration for The Connect for Cancer Prevention Study.

Conclusions:

  • Quest enables questionnaires to be stored and shared as a standard plain text format.
  • This markup language promotes FAIR data principles in epidemiology by enhancing reusability and interoperability.
  • Quest is a significant step towards standardized, open-source tools for epidemiological data collection.