Sentence examples for data and proof from inspiring English sources

Exact(6)

However, this right is restricted by a number of exemptions where an individual's data is needed: to exercise freedom of expression; for public interest in public health; for historical, statistical and scientific research purposes; for legal reasons; for other purposes, including where the use of the data is restricted to verifying the accuracy of disputed data and proof purposes.

They want data and "proof points" that show the idea works.

It also wants to see a "clear, standardised procedure" for access to comms data, and proof that data that's more than six months old is regularly used "in order to establish a proportionate approach to data retention".

LS was involved in recruitment of patients, analyzing the data and proof reading.

Economic data and proof of economical benefit are lacking for many interventions from our daily practice.

The emphasis on data and proof has ameliorated the worst excesses of storytelling in natural history, with enormous positive impact.

Similar(54)

HZ and QX conceived the idea of the study, analyzed the data, and wrote the paper; YD and LZ designed the simulation; XL assisted in the construct of the model; and SL and YJ helped with the explanation of data and proof-reading of the manuscript.

Obviously, further data and proofs are necessary to introduce a substantial change in our practice.

IC, entered and analysed the data and helped write the paper, KE distributed and helped design the questionnaires, entered the data, and proof-read the paper.

The IGNITE Network is an innovative series of projects and pilot demonstrations aiming to enhance translation of validated actionable genomic information into clinical settings and develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions.

IGNITE is also a series of pilot demonstration projects that aim to develop and use measures of outcome in response to genome-based clinical interventions using a pragmatic framework to provide early data and proofs of concept on the utility of these interventions.

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