Sentence examples for make data collection more from inspiring English sources

Innovations in apparatus technology come about for a variety of reasons such as the need to use the same methodology with various species, the opportunity to present dynamic and carefully controlled stimuli, the goal of using automation to make data collection more precise or efficient, and the need to control for and/or eliminate the presence of experimenters in the testing context.

Though it's plausible that the government would not have disclosed the name of the program, the NYT confirmed Apple's participation in a government surveillance network designed to make data collection more efficient for the NSA — whatever that entails, like "a broad sweep for intelligence, like logs of certain search terms".

Because questions capturing medication use were shown to be particularly difficult, as well as very time-consuming, a computer-assisted version of these questions was developed to make data collection more efficient.

The high proportion of participants who did not speak English as a first language made data collection more complicated.

Since maternal deaths are a relatively rare phenomenon, the ability to capture information on multiple persons through one respondent expands the effective sample available for analysis given a fixed number of data collection contact points, making data collection more efficient and avoiding the prohibitive costs associated with obtaining very large sample sizes.

For instance, tablets and smart phones are used to conduct needs assessments among beneficiaries to make data collection and processing faster and more precise.

Murj, a new company backed by $4.5 million in new venture financing, is looking to make data collection from implantable heart monitoring and management devices easier and more manageable.

The original signature consisted of 104 genes, and so reducing this number would make data collection, analysis and transfer to a PCR-based approach simpler and more transparent.

However, medical research is about to go through a tectonic shift made possible by new technological breakthroughs that have made data collection much more scalable.

The introduction of small field computers or PDAs at some point in the future may help tackle some of the issues by making data collection less burdensome and more accurate.

Fluorescence made data collection and interpretation difficult for some layers.