Sentence examples for data validation software from inspiring English sources

Exact(1)

All the participating hospitals are part of the Finnish Intensive Care Consortium, and all the ICUs, except one, use the same electronic data management systems and data validation software (Web Validator; Tieto, Helsinki, Finland).

Similar(59)

Mascot data were then transferred to an in-house developed validation software for data filtering according to a significance threshold of Mascot score >20 and the elimination of protein redundancy on the basis of proteins being evidenced by the same set or a subset of peptides.

In order to solve problems existing in household travel survey, such as tedious designing work of survey forms, single survey method, single function, poor pertinence of existing data statistical analysis software, and the difficulty to examine data validation, a survey data statistical analysis software named OD Star had been developed for engineering.

Mascot data were then transferred to IRMa validation software (Dupierris et al, 2009), which allowed data filtering and suppression of protein redundancy on the basis of proteins being identified by a same set or a subset of peptides (Target Decoy approach (Choi et al, 2008): FDR = 1.6%).

Data validation and analysis were performed by SAS statistical software version 9.1 (SAS Institute, Cary, NC, USA).

This secure, web-based system provides robust data validation routines, custom reporting and straightforward integration with statistical software packages such as SAS (utilised for this investigation).

This secure, web-based system provides robust data validation routines, custom reporting and straightforward integration with statistical software packages such as Statistical Analysis Software SASStatistical Analysis Software SAS

The input data files for this software are classified into three semi-equal groups, "training data", "validation data" and "applied data".

"It's an eye-opener," says Soko. "Data validation, missing reports... everything is at my fingertips.

Interviews have found that managers value data validation and quality over use.

Though a team does check new data for formatting and new organisations, data validation is currently absent.

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