The Sleep Revolution Platform: a Dynamic Data Source Pipeline and Digital Platform Architecture for Complex Sleep Data

Abstract

Abstract Purpose of Review The complexity of the data collected for sleep research is increasing, and the focal point of sleep research is dependent on a higher number of data sources. Data collected for sleep studies often includes both subjective and objective measurements of sleep quality and is gathered over a more extended period, e.g., for weeks, months, or even years. However, this variety and volume of data make it challenging and time-consuming for researchers to utilize. Therefore, sophisticated data structures are necessary to utilize data in sleep research. Recent Findings This paper explores how heterogeneous data sources can be represented in a homogeneous database design. The following research questions drove our work: (i) How can we represent sleep data from heterogeneous sources in a homogenous digital platform database? and (ii) How can a data source pipeline transform various data sources into a homogeneous data format? Summary This paper’s main contributions are conceptualizing the design and development of a homogeneous database and digital platform architecture and a data source pipeline that fits well for sleep research in particular and healthcare research in general.