Sentence examples for level of data required from inspiring English sources

Based on this work, it makes sense to develop appropriate messages for participants to convey the concept that checklist items, if used, are merely examples of the level of data required, and that their answers to questions about ill health and treatment use are as important as tests and examinations.

The current university information systems and procedures were not specifically designed to provide certain types and levels of granularity of data required for impact assessment, and individual researchers often do not keep a record of events and facts that can be interpreted as impacts.

This approach greatly aids cybersecurity protections at the network level due to the volumes of data required for analysis.

Processing terabytes of data requires a certain level of information technology and bioinformatics expertise, which can be daunting to small laboratories with limited resources.

We outperform [44 46] in a practical context (see Section 6) and none of these discuss the minimum level of training data required to obtain the best achievable performance using only the node-level attributes.

Yet there has never been a WIO of Australia constructed, primarily because the level of waste data required for a WIO have been too high (though previously there has been some attempted IO analysis of waste in Australia (Reynolds and Boland 2011, 2013a, 2013b; Reynolds et al. 2011).

For instance, while contact lens cleaners are CE Class 2b devices, contact lenses could be classified as Class I. Manufacturers ultimately decide on the class of the device and therefore the level of clinical data required.

Secondly, the level of data augmentation required may involve imputation of more unknowns than is currently feasible to handle (Ferguson et al., 2006).

It was noted by Perakslis that this level of data sharing required an "honest broker" within the frame work of the Federal Information Security Management Act.

However, the level of data detail required for this model also provides a drawback: data preparation, meta-analysis, and verification for a new series of analysis are non-trivial.

It has been suggested that the level of data collection required under the current governance process is unmanageable for clinicians and should be revised to prevent a decline in participation.