Sentence examples for identification of data collection from inspiring English sources

Thus early identification of data collection issues, and immediate establishment of monitoring, enhanced the quality of the dataset throughout the trial, and kept the proportion of missing data to a minimum.

Electronic data is password-protected, and identifying data is kept on a separate database from outcome data, allowing de-identification at the end of data collection.

The KBS automatically performs all operations of data collection, identification, monitoring, and sensor fault diagnosis with little or no input from the user.

This system is one of the first to attempt to overcome challenges with patient identification to improve the accuracy of data collection.

However, the process of data collection and identification is demanding and expensive on condition that such process would be realised only by means of measuring equipment.

The study consisted of a retrospective community-based survey with two phases of data collection: death identification and interviews of respondents from the deceased household using a standard verbal autopsy questionnaire [ 10].

This formative research informed the development of data collection instruments; the identification of avenues of data analysis; and the generation of culturally appropriate descriptions of workplace violence and gender discrimination, including associated behaviors.

Data analysis will be an on-going and iterative process through all phases of data collection, as early identification will allow a fuller probing of unanticipated concepts and variables in upcoming interviews and focus group discussions [ 19].

Data analysis will be an on-going and iterative process through all phases of data collection, as early identification will allow a fuller probing of unanticipated concepts and variables in upcoming formal or informal interviews and focus group discussions [ 39].

The identification of these areas is relevant for the design of data collection plans intended to improve the confidence in the model results.

We compare the performance of data collection of both architectures with respect to real-time monitoring, load peak identification, and automated regulation.