For example, the data principle identifies the data content and the standards for data quality, and these in turn are the basis for how data is interpreted by users in the format of metadata.
More details on the basis for assigning data quality ranks (gap, very low, low, moderate and high) shown in the following results are available on the CAREX Canada website [ 37], as are documentation and citations for all data sources and levels used to calculate the LECRs reported here.
Although it is probably not possible to have an intensive care registry that is completely free of errors, this study shows that centrally organized training in data definitions, which is further diffused by the train-the-trainer principle, is an important basis for good data quality.
The CHWs were cleared for study participation on the basis of their data quality concerning diagnosis, treatment/referral choice, and drug prescription.
Regular training and under-reporting surveys are conducted on an annual basis to ensure data quality.
In this research, quality guidelines were defined based on a quality instrument that was used to assign a quality score to each article as a basis for data analysis and synthesis.
Understanding and standardizing the qualitative requirements of clinical samples in order to generate protein analysis data that can be globally shared and used for future developments within our society will also form the basis for improving on the data quality of proteomic studies.
Rather, they provide a conceptual basis for future research into the causes for deficient quality reporting and into interventions for improving data quality.
In general, the appearance of data clusters corresponding to integer copy numbers is a strong indicator of CNV measurement accuracy and a useful basis for quality control of measurement data (24– 24).
Especially the off-line programming technique for intelligent co-ordinate measurement technique ICMT as basis for simultaneous quality assurance is described and an intelligent measuring cell for quality assurance, data collection and data evaluation in MFIF is proposed and discussed.
