The phrase "achievement of data" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to the successful collection, analysis, or utilization of data, but the wording is awkward and unclear.
Example: "The achievement of data analysis is crucial for making informed business decisions."
Alternatives: "successful data collection" or "data acquisition success".
The Digital Imaging and Communications in Medicine (DICOM) standards committee supports the achievement of data compatibility between imaging systems and other healthcare information at different levels.
While this is a small sample size, the achievement of data saturation indicates that the sample was adequate to address the research question in this context.
According to this model, data collection and data analysis activities constitute a continuous, interactive process that is complete upon achievement of data saturation.
To date, the most dramatic achievements of data science in medicine have been in the realm of genomics.
Another issue in every clinical study is the achievement of optimal data quality with reasonable expense.
Published prevalence data are usually taken from studies conducted on small numbers of prisons or in single regions, this hampering the achievement of definite data.
For achievement of valid data from 24-h ABPM, it is important to use only devices that were approved by international standards (58, 59).
Based on this vision, Snowflake developed a strategy to win both the data warehouse and big data battles by building on the achievements of the data warehouse, the flexibility of systems such as Hadoop, and the true elasticity of the cloud.
After 30 min at 37°C, there was no remarkable change in the emission intensity at 515 nm due to the achievement of stable equilibrium (data not shown).
In order to examine trends in the achievement of management targets, data were compared with targets set in guidance published by the National Institute for Clinical Excellence NICEE).
Particularly in relation to laboratorial methods, the lack of a gold-standard for human patients or animals is a limitation for the disease control, because the achievement of accurate epidemiological data is associated with the guidance of control measures, thus helping to increase their efficiency.
