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Discover LudwigThe phrase "data credit" is correct and can be used in written English.
It is typically used when referring to a type of reward given to customers for sharing information with a company or service. For example, "Customers receive data credits for providing feedback about the products and services they have used."
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Data sources of interest include but are not limited to: Probe/GPS data, Credit Card Transactions, Traffic and Mobile phone data.
They may also be unaware that their data such as personal data, credit card information and logins and passwords was being stolen.
Corporate and government databases are routinely hacked and huge troves of personal data, credit card and bank account details are stolen and offered for sale in the shadows of the so-called "dark web".
And IFA was among the best in the industry at evaluating external sources of data (credit histories, demographic studies, analyses of socioeconomic status, and so on) to predict depression, back pain, and other expensive chronic conditions.
Of concern to everyone is the accuracy and security of information contained in databases and data warehouses whether in health and insurance data, credit bureau records, or government files as misinformation or privileged information released inappropriately can adversely affect personal safety, livelihood, and everyday life.
(PDF data credit: Robert Luther).
Similar(45)
Pre-publication sharing might be rewarded by a data citation credit system via digital object identifiers (DOIs) which have initially been in use for data objects.
Uber mined customer geolocation data, credit-card information, app-usage habits and even social-media profiles to identify those working for city governments or driving for rival ride-hailing services.
Stellar offers its own virtual currency, lumens, and also allows users to retain on its system a range of assets, including other currencies, telephone minutes, and data credits.
Key Points Incentives to share data can be given by data citation credits (datacite).
The recent advent of new "big-data" credit-scoring products heightens these concerns.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com