Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31618, first published .
Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

Journals

  1. Wang J, Liu Y, Li P, Lin Z, Sindakis S, Aggarwal S. Overview of Data Quality: Examining the Dimensions, Antecedents, and Impacts of Data Quality. Journal of the Knowledge Economy 2023 View
  2. Cho S, Ensari I, Elhadad N, Weng C, Radin J, Bent B, Desai P, Natarajan K. An interactive fitness-for-use data completeness tool to assess activity tracker data. Journal of the American Medical Informatics Association 2022;29(12):2032 View
  3. Böttcher S, Vieluf S, Bruno E, Joseph B, Epitashvili N, Biondi A, Zabler N, Glasstetter M, Dümpelmann M, Van Laerhoven K, Nasseri M, Brinkman B, Richardson M, Schulze-Bonhage A, Loddenkemper T. Data quality evaluation in wearable monitoring. Scientific Reports 2022;12(1) View
  4. Johns M, Meurers T, Wirth F, Haber A, Müller A, Halilovic M, Balzer F, Prasser F. Data Provenance in Biomedical Research: Scoping Review. Journal of Medical Internet Research 2023;25:e42289 View
  5. Kankam G, Kyeremeh E, Som G, Charnor I. Information quality and supply chain performance: The mediating role of information sharing. Supply Chain Analytics 2023;2:100005 View
  6. Lee S, Kim B. Attribute of Big Data Analytics Quality Affecting Business Performance. Journal of Social Computing 2023;4(4):357 View