Sentence examples for flagging of data from inspiring English sources

Our software solution can produce a variety of different outcomes when a data anomaly or unexpected event is detected, ranging from simple flagging of data points, to data augmentation, to validation of proposed hypotheses that could explain the phenomenon.

The overall response rate has been 44% and the flagging of data types by authors is sufficiently accurate for effective prioritization of papers.

These reports include site-specific enrollment and follow-up statistics, demographics and flags of missing data items and data collection forms.

Given the high-stakes nature of DNA data and the popularity of voluntary online DNA databases, the case immediately raised a number of flags for data privacy advocates.

The researcher visually parsed each word-processed interview transcript, narrative report, and biographical article to flag key points of data and information, and to develop categorical codes from the words and concepts found within the data text (thematic coding).

The researcher visually parsed each biographical account to flag key points of data and information in congruence with the procedures specified for the primary data survey and interview texts, and the secondary profile reports.   5.

The researcher visually parsed each biographical account to flag key points of data and information in congruence with the procedures specified for the primary data survey and interview texts, and the secondary profile reports.

The researcher visually parsed each qualifying report to flag key points of data and information, in congruence with the procedure specified for primary data survey and interview texts, interpreting the findings to compare secondary data excerpts against the thematic codes developed for the primary dataset.

On a deeper level, Watch Dogs aims to flag up the perils of data centralisation, such as Rio de Janeiro's 2016 Smart Cities pledge, which feeds off citizen-sourced data and occupies a perilous zone between civic empowerment and Orwellian control.

Our software systems should thus be seen as robust low-pass filters of the data with subsequent expert review of data flagged as 'bad' to be recommended.

The LMS flags locations of interest utilizing a computationally inexpensive algorithm so that more advanced algorithms can be applied only on the small subsets of data flagged by the prescreener.