Supplementary data for the manuscript titled Reliable data collection in participatory trials to assess digital healthcare apps.

The dataset is raw data to validate methods for reliable data collection. We proposed the data collection methods in a path to assess digital healthcare apps. To validate the methods, we conducted experiments in Amazon Mechanical Turk(MTurk), and then we showed that the methods have a significant difference based on the statistical tests. Methods and tests are following; (1) Comparison to the simplicity of protocol creation on data preparation stage (2) Validation of data reliability weight comparing to manually collected data on data storage stage (3) Future reward distribution effect observation on data sharing stage. Each data set contains test information and raw data. Total participants were 718, and we excluded their worker ID, followed by a policy of Amazon. All participants signed on informed consent for the tests. Furthermore, KAIST IRB exempted the experiments.