Sentence examples for vetting database from inspiring English sources

As Josie Appleton of the Manifesto Club, which started the campaign against the Vetting and Barring Scheme, said: Wherever Ed Balls redraws the line on who must register on the vetting database, this is still an absurd law.

Joint committee on human rights report into allegations of UK complicity in torture [Parliament] plus ministers accused of coverup [Guardian] Hundreds of schools are installing CCTV cameras in classrooms – who are they watching and why? [Guardian] Does the vetting database show suspicion and spying are the new trust?

New York – which alongside adopting the RMTC's standards has implemented an online veterinary database for trainers and vets to record and share things like corticosteroid joint injections – reports that there has been a virtual elimination of methylprednisolone acetate treatments.

During the process of vetting potential database partners, he said, the company was forced to reject several companies because they did not meet Plaxo's security standards.

This company matches their vetted proprietary database of freelance writers, photographers and other content creators with businesses who are, for example, marketing products or expanding brand awareness.

There is strong demand for the creation of a centralized, well-described, aligned and vetted nifH database.

One easy way to do so is to visit Guidestar, the Gold Star of nonprofit vetting and an invaluable database for finding trustworthy charities that have their hearts in the right place.

DealBook » A Rise in Requests From Brokers to Wipe the Slate Clean | As investors rely increasingly on Finra's database to vet Wall Street professionals, some brokers and executives are trying to remove complaints.

The guidelines from General Petraeus suggested that sloppiness was pervasive, since it exhorted commanders to "establish systems and standard databases for vetting vendors and contractors to ensure that contracting does not empower the wrong people or allow the diversion of funds".

While many prediction methods are found to work in the literature, the results of this study show that these methods have only been compared to their original data, but have not been vetted against a large database covering many fluids, plate designs and test conditions.

dbCMMS has been assembled from our own clinical data gathered from over 25 years of clinical experience, by vetting literature, and public databases.