Sentence examples for data are often considered from inspiring English sources

As location data links the online world to the user's physical environment, with the potential of physical harm (stalking, burglary during holidays, etc)., such data are often considered particularly sensitive.

Nevertheless, this data is flooded with many false interactions, thus it is already established that functional modules descending solely from this data are often considered as unconfident and misleading.

Nonlinear and data dependent methods are often considered as the main strategies to avoid those oscillations.

However, Mak and Watkins [ 24] found that disease rates and Indigenous:non-Indigenous rate ratios decreased with improved identification, suggesting a substantial bias towards the under-recording of non-Indigenous status in STI/BBV data, diseases that are often considered to be socially stigmatised.

Carcinogenic potency for rats was selected as response because such data in risk assessment [53] are often considered to be more suitable for human carcinogenicity prediction.

Although these allow the user to define tasks and data artifacts as web services, they are often considered inflexible and complicated, often due to vendor specific solutions and inaccessible documentation.

Medication labels are often considered the definitive data source for information on side effects due the strenuous requirements of regulatory approval.

For example, inclusion of survival outcomes may reduce missing data rates, as participants who drop out are often considered censored.

Even though children and adult patients are often considered resilient, HRQoL data show several areas in which patients report difficulties.

Graphs are often considered intuitive because they display data visuospatially; yet, students still struggle.

Random duplicate household visits are often considered to be an additional important aspect of data quality assurance.