Sentence examples for data for surveillance from inspiring English sources
A Twitter spokesperson noted that the company prohibits the sale of user data for surveillance and has a "developer policy" that bans the use of its data to "to investigate, track or surveil Twitter users".
"Neither Facebook nor Instagram has a public policy specifically prohibiting developers from exploiting user data for surveillance purposes.
We prohibit developers using the Public APIs and Gnip data products from allowing law enforcement — or any other entity — to use Twitter data for surveillance purposes.
Twitter does have a 'longstanding rule' prohibiting the sale of user data for surveillance as well as a Developer Policy that bans the use of Twitter data 'to investigate, track or surveil Twitter users.'".
The WP29 has been assessing these mechanisms for the past few months, and said today that it does have concerns about their legality, in light of US government agencies' access to European citizens' data for surveillance purposes.
Thousands of microarray data repositories have been created for gene expression investigation [1]; sophisticated cameras are becoming ubiquitous, generating a huge amount of visual data for surveillance; the Square Kilometre Array Telescope is being built for astrophysics research and is expected to generate several petabytes of astronoimcal data every year [2].
Prototypes for the use of EHRs data for national surveillance include surveillance systems for vaccine safety, selected infectious diseases, and bioterrorism threats.
That data can then be placed with other test data, perhaps for surveillance of a virus outbreak in a region or specific location, or analyzed standalone with experts.
The independent review, to be led by the intelligence and military thinktank the Royal United Services Institute, will look at the proportionality of the data gathered for surveillance purposes and the legal framework in which this happens.
Researchers are seeking alternative data sources for surveillance and population-based studies.
In addition, occasional extra alertness by clinicians can make these data unreliable for surveillance.
