Remarkable quantities of data are generated through clinical research, much of which is never published nor disseminated, limiting its integration into current knowledge about treatment efficacy and safety.
Empirical data were generated through participant observation and individual interviews, focusing on the participants' interaction with the staff and were analysed within a phenomenological-hermeneutic framework.
The findings demonstrate that survey design matters in the estimation of returns to schooling and that care is needed in comparing across contexts and over time, particularly if the data are generated through different surveys.
In a scientific context, facts and data are generated through research and represented as structured records of measurements and observations.
Study data were generated through secondary analysis of administrative records from the MHRC program, Kalamazoo Community Mental Health and Substance Abuse Agency, Kalamazoo County Sheriff's Department, and two local hospitals, Borgess Medical Center and Bronson Methodist Hospital.
Furthermore, a huge number of contextual data are generated through sensing which require scalable and efficient technique for storage and retrieve [39].
An individual's expectations of privacy and expected uses of their data may also differ when data are generated through interactions with proprietary platforms and services, as opposed to formal health services.
Noting that the observed data was generated through interactions of several known/unknown factors, and thus when a data pattern is obtained through some configurations of learnt factors, additional (unseen) data patterns can likely be described through new configurations of the learnt factors and patterns[5],[24].
DNA data are generated through a linear amplification and readout process in which quantitative allele events are combined arithmetically.
