Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study.
Sylvia ChoChunhua WengMichael G KahnKarthik NatarajanPublished in: JMIR mHealth and uHealth (2021)
In this study, intrinsic and contextual and fitness-for-use data quality dimensions for person-generated wearable device data were identified. The dimensions were adapted from data quality terminologies and frameworks for the secondary use of EHR data with a few modifications. Further research on how data quality can be assessed with respect to each dimension is needed.