Sentence examples for expanded data capture from inspiring English sources

As well as expanded data capture powers, the government says the planned legislation will aim to "maintain the ability of our intelligence agencies and law enforcement to target the online communications of terrorists, paedophiles and other serious criminals", and also "modernise our law in these areas and ensure it is fit for purpose".

He also notes that the Joint Committee report on the draft Communications Data bill was hugely critical about the lack of data ministers were able to provide to support assertions that expanding data capture powers for counter-terrorism purposes would save lives.

Another expanded data type captured in java.sql is the character large object (CLOB) interface.

That said, just this week politicians in the Swiss National Council, its lower house, voted to expand the data capture powers of its own intelligence services (the NDB).

We also hope to expand data collection in the future to include qualitative interviews that capture other aspects of the experience.

The Tory's prior attempt to expand the state's data capture powers, the Communications Data Bill — widely criticized as a 'Snoopers' Charter', on the grounds that it would have required ISPs to retain detailed data on web usage — failed to pass through Parliament owing to the lack of support from the Conservative's Lib Dem coalition partners.

Additionally, it might be effective to minimize free text and create a standardized case report form [ 19] for data collection, which could be expanded to capture data from other cohorts in centers across the United Stataes.

The U.K. government is lining up a new piece of legislation to expand the state's digital data capture powers.

The present analysis is based on the data collected during a 20-month period between April 1, 2010 (when the audit was expanded to capture data from emergency departments) and December 31 , 2011

Fourth, we expanded our code set to include possible adverse drug events (code categories C, D and E), to allow for better ICD-10 data capture which resulted in a greater proportion of false positives.

We expand on that body of work by defining and applying an assessment process to characterize ICTs for remote-area health data capture.