Sentence examples for implement data quality from inspiring English sources

Exact(1)

There were also improvements in self-rated ability to check data validity and implement data quality procedures; use data to support program planning; propose indicators for program monitoring; and write reports to disseminate M&E information.

Similar(59)

Over 1 year, there were significant improvements (p < 0.05) in self-rated skills related to computer literacy, checking data validity, implementing data quality procedures, using data to support program planning, proposing indicators, and writing M&E reports.

For example, hospitals who can survive without this budget and therefore have no interest in improving data quality, for example, or hospitals that are financially dependent on this source of revenue yet still haven't implemented data quality improvement.

A comparison of data outputs derived from the SVM-based fusion and the real data before the SVM-based fusion, when the proposed technique is applied to a set of two-source traffic flow data from ShangJie on-ramp of BanShen highway in Japan, demonstrates that the proposed SVM-based fusion approach can implement the data quality control effectively, which improves the level of the data accuracy.

In addition to dramatically increasing the power of association studies, another role of consortia like the OCAC, has been to implement stringent data quality and genotyping guidelines, which are likely to minimise reports of false-positive associations.

Current European effort should be aligned with those of the International Human Epigenome Consortium (http://www.ihec-epigenomes.org/ ) coordinating epigenome mapping and characterisation worldwide to avoid redundant research effort, to implement high data quality standards, to coordinate data storage, management and analysis and to provide free access to the epigenomes produced.

The ISPS Data Archive curation process implements the data quality review framework.

This argument is illustrated through critical deconstruction of the recently implemented U.S. Data Quality Act.

The theoretical concepts based on previous work have been implemented for data quality evaluation of Twitter-based data sets.

The committee also demanded documents relating to how NOAA implements the Data Quality Act, as well as the peer review record relating to the 2015 Science paper, citing a letter signed by 325 "scientists, engineers, economists, and other scholars" and sent to the committee 28 January that called into question NOAA's adherence to the Data Quality Act.  .

Depending on the quality of implemented data (e.g. NYHA related transition probabilities, mortality rates, etc).

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