Sentence examples for how to ensure data from inspiring English sources
(iii) how to ensure data quality (i.e., freshness, consistency, completeness, correctness)?
Sponsors should plan carefully to establish appropriate system and security controls, as well as cybersecurity and system maintenance plans that address how to ensure data integrity during network attacks and software updates.
The key issue is how much information should be deleted or transformed to ensure data protection without destroying the usefulness of the data [18].
This paper focuses on the data requirements for handling tree census data and how to design databases to meet these requirements and to ensure data integrity.
There is little debate over whether the task of systematically counting and accounting for deaths is important; the question is how to ensure that data become an instrument to support changes in practice.
29 Studies suggest that further work is needed to determine how to collect PROM data most effectively, and how to ensure implementation of PROM data for service improvement purposes.
Thus, these studies focused only on how to ensure security on medical data placed in the mobile cloud environment.
These concerns revolved around how to ensure that meaningful PROM data could be collected and shared efficiently (PROM implementation: engaging patients and practitioners and PROM implementation: divisions across services), and how to ensure that PROM data are used in intended and appropriate ways (PROM use: interpretability and usability of PROM data).
Although data broadcast has been shown to be an efficient method for disseminating data items in mobile computing systems, the issue on how to ensure consistency and currency of data items provided to mobile transactions (MT), which are generated by mobile clients, has not been examined adequately.
Dynamic efficiency focuses on how to ensure abundant supplies of useful data for the future and is essential to sustainable discovery.
Exploiting intelligence from big data to drive agility will require tackling new challenges, such as how to ensure the consistency and confidentiality of data through long and complex supply chains.
