Supplementary data for the manuscript entitled “Reliable data collection in participatory trials to assess digital healthcare applications”

The dataset comprises 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 meaning based on statistical tests. The methods and tests are as follows: (1) comparison with the simplicity of protocol creation during the data preparation stage; (2) validation of data reliability weight compared with manually collected data during the data storage stage; and (3) the future reward distribution effect of observation during the data sharing stage. Each data set contains test information and raw data. The total number of participants was 718, and we excluded their worker ID, following by a policy by Amazon. All participants signed an informed consent document for the tests.