Sentence examples for maintain data privacy from inspiring English sources
Reform efforts based on scalable policies that protect students, maintain data privacy, and advance teaching and learning with technology are critical.
On his website Greens Senator Scott Ludlam, active opponent of the law since its inception, outlines some easy ways you can set up a VPN, mask calls, text messages, and maintain data privacy.
In order to maintain data privacy, pseudonyms are used to combine data sets (baseline and follow-up data) and to identify data if patients withdraw informed consent.
The detachable data recorder of the device provides particular advantages in these settings because no blood samples or other biohazardous material need to be transported by mail, and the device augments efforts to maintain data privacy because it records no personal identifiers.
By integrating a simulation algorithm, the Dashboard maintains data privacy without the need for encryption, making the webapp ideal for consumer or patient based datasets.
We saw this reflected in the data from the Consumer Openness Index Report, a survey where the number of respondents who placed the responsibility of maintaining data privacy on themselves grew by 6percentt year-over-year — which aligns well with another Pew survey where 61percentt of respondents feel they "would like to do more," while only 37percentt say they "already do enough".
Registered users can submit data online and maintain data's privacy for two years before data move to the public domain.
However, cloud Computing presents an added level of risk because essential services are often outsourced to a third party, which makes it harder to maintain data security and privacy, support data and service availability, and demonstrate compliance.
The system was programmed with multiple security steps and authentication procedures to maintain data security and privacy.
To maintain data utility, we must balance the number of iterations and the privacy budget spent on each iteration in the training process.
I think at some point there was a realization that doing AI/ML heavy lifting with the additional load of maintaining user data privacy was enough to carry without having to also maintain several different stacks for its ML tools.
