The phrase "rigorous data processing" is correct and usable in written English
It can be used when discussing the thorough and meticulous handling of data in research, analysis, or technical contexts.
Example: "The study's findings were based on rigorous data processing to ensure accuracy and reliability."
Alternatives: "thorough data analysis" or "meticulous data handling."
This study shows that when 454 pyrosequencing of the V9 region is paired with rigorous downstream data processing, this method is more time- and cost-efficient, and produces a much more comprehensive picture of the protist community than Sanger sequencing of clone libraries, allowing for better estimates of community complexity.
We also developed rigorous data pre-processing methods, compared different options of defining the ASRs, evaluated the robustness of ASRs in terms of the between-lab and between-platform reproducibility, and explored several related analysis algorithms.
The three comparison databases (SEER, Medicare, commercial claims) were chosen for their high-quality data and rigorous data collection and processing methods.
The processing of the causes of death at the SEADE Foundation was performed in accordance with the recommendations of the WHO for the identification of the underlying cause of death, and there was rigorous quality control of the automatic data processing.
After initial data processing every sample was evaluated using rigorous QC metrics, including percentage of targets covered at 20× or greater and concordance of single nucleotide polymorphisms (SNPs) calls between exome sequencing and SNP array data.
PISA implements stringent quality control with rigorous standards on aspects including sampling, translation, printing, test administration, data processing, scaling, and student and school participation rates.
In previous work on search strategy development in MEDLINE, we determined that estimation of search term performance was not substantively affected by using smaller journal subsets, focusing on journals publishing at least some methodologically rigorous articles [unpublished data], and these smaller subsets greatly simplify data processing.
Moreover, it is gratifying that the data passed rigorous validation tests, showing that they were not over-fitted during the later stages of data processing.
Thus, inclusion of biomarkers into the clinical development pipeline will only be achieved by a rigorous scientific approach, which includes standardized operating procedures for patient selection, sample collection, laboratory analysis and data processing.
