The phrase "and purposes of data" is correct and usable in written English.
It can be used when discussing the various reasons or objectives for which data is collected or utilized.
Example: "The study outlines the methods and purposes of data collection to ensure transparency and accuracy in the research process."
Alternatives: "and objectives of data" or "and uses of data".
Patients must be given information about the scope and purpose of data collection or access, its risks and benefits, and make an informed decision.
It asked Google to give "clearer and more comprehensive information about the collected data and purposes of each of its personal data processing operations" and demanded the firm should allow users to choose when their data are combined between Google products.
Respondents answered questions about their current data collection practice including the type and purpose of any data collected.
It was not possible to separate results of the extension to the earlier trial, and for the purposes of data extraction, we used the later report, which included more patients [ 42].
Expert statements were grouped into thematic categories by two researchers (MA and CE) for the purposes of data organization and analysis.
A Data Safe Haven must address all criteria in a manner consistent with the nature and purpose of the data it holds but some criteria may reasonably be met via systems and mechanisms that are managed elsewhere.
We used qualitative analysis software (ATLAS.ti 5.0; Scientific Software Development, Berlin, Germany) to facilitate data organization and retrieval for the purposes of data analysis.
The corresponding intra-arterial reading was obtained immediately at the end of each noninvasive measurement and averaged for the purposes of data analysis.
One of the Password Protect boxes is likely to cost around £100,000, and the pair say a company would likely need at least two for a "minimal configuration", and perhaps up to four for the purposes of data replication and if operating from multiple data centers.
In this paper, a hybrid prediction model of improved empirical wavelet transform (IEWT), particle swarm optimization (PSO) and least squares support vector machines (LSSVM), is developed for purposes of data recovery and spatial extension of non-Gaussian non-stationary wind pressure (complex signal).
