This paper is in the following e-collection/theme issue:

Crowdsourcing, Big Data, Quantified Self-based Research Data (10) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (930) Development of Instruments and Surveys (93) Crowdsourcing and Mechanical Turks (101)

Published on in Vol 2, No 2 (2017): Jul-Dec

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Assessing Diabetes-Relevant Data Provided by Undergraduate and Crowdsourced Web-Based Survey Participants for Honesty and Accuracy

Authors of this article:

Mary Turner DePalma1 Author Orcid Image ;   Michael C Rizzotti1 Author Orcid Image ;   Matthew Branneman1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Zhou L, Parmanto B. Development and Validation of a Comprehensive Well-Being Scale for People in the University Environment (Pitt Wellness Scale) Using a Crowdsourcing Approach: Cross-Sectional Study. Journal of Medical Internet Research 2020;22(4):e15075 View
  2. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  3. Lin Y, Newman S, Piette J. Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes. Journal of Medical Internet Research 2023;25:e43593 View
  4. Ng W, Erdembileg S, Liu J, Tucker J, Tan R. Increasing Rigour in Online Health Surveys Through the Reduction of Fraudulent Data (Preprint). Journal of Medical Internet Research 2024 View