"handling data" is a correct and usable phrase in written English.
It can be used when describing the actions or process of managing or dealing with information or statistics. Example: The IT department is responsible for handling data from various sources and creating reports for the company's management.
The best tip for handling data is to enjoy yourself.
Neural networks are a new way of programming computers … It's a new way of handling data".
They need to understand the processes behind developing websites, handling data and running social media campaigns.
Of those surveyed, 79% were convinced robots would be better equipped at dealing with different languages and 81% thought they would be better than humans at handling data.
Because CDMA's packet-based technology is so good at handling data, it is now the basis of the recently agreed international standard for third-generation services.
Changes to European data protection law would cut off the money it receives from registration – all companies handling data in the UK have to pay a fee to the ICO.
At Rockaway Beach in Queens, Joseph Mauro, a parks supervisor, was handling data collection by estimating the current populations of three segments of the shore, one at Beach 59th Street, one east of that and another to the west.
The web Maths: handling data www.bbc.co.uk/education/mathsfile/gameswheel.html Suitable for: KS1 /2 teachers & pupils Select "data picking" for an interactive activity in which pupils collect information and enter it on a chart before completing a frequency table.
Novell, based in Provo, Utah, is best known for its Netware product, an operating system used mainly for handling data files and printing on corporate networks of personal computers.
We suggest an online resource centre with some educational tools (best practice in handling data for example) and crucially some developed case studies of how open government has led to greater accountability or improved the lives of citizens.
The BA knows that in many of the disciplines in which its expertise lies (such as economics, linguistics and psychology), confidence in handling data and statistics are more important than ever before.
