scholarly journals Data quality assurance and control in cognitive research: Lessons learned from the PREDICT‐HD study

2017 ◽  
Vol 26 (3) ◽  
Author(s):  
Holly James Westervelt ◽  
Rachel A. Bernier ◽  
Melanie Faust ◽  
Mary Gover ◽  
H. Jeremy Bockholt ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Data Quality ◽  
Lessons Learned ◽  
Cognitive Research ◽  
And Control ◽  
Quality Assurance And Control

scholarly journals A nationwide evaluation of the prevalence of human papillomavirus in Brazil (POP-Brazil study): protocol of data quality assurance and control (Preprint)

10.2196/31365 ◽  
2021 ◽  
Author(s):  
Jaqueline Driemeyer Correia Horvath ◽  
Marina Bessel ◽  
Natalia Luiza Kops ◽  
Flávia Moreno Alves Souza ◽  
Gerson Fernando Mendes Pereira ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Human Papillomavirus ◽  
Data Quality ◽  
Study Protocol ◽  
And Control ◽  
Quality Assurance And Control

scholarly journals IMPACT OF DATA QUALITY ASSURANCE AND CONTROL SOLUTIONS ON THE COMPLETENESS, ACCURACY, AND CONSISTENCY OF DATA IN A NATIONAL REGISTRY

2017 ◽  
Vol 2 (1) ◽  
pp. 105-106
Author(s):  
Zahra Azadmanjir ◽  
Khatereh Naghdi ◽  
Mahdi Safdarian ◽  
Aidin Abedi ◽  
Mohammad Reza Zarei ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Data Quality ◽  
National Registry ◽  
And Control ◽  
Quality Assurance And Control

scholarly journals THE IMPACT OF DATA QUALITY ASSURANCE AND CONTROL SOLUTIONS ON THE COMPLETENESS, ACCURACY AND CONSISTENCY OF DATA IN A NATIONAL REGISTRY

2017 ◽  
Vol 2 (2) ◽  
pp. 167-168
Author(s):  
Zahra Azadmanjir ◽  
Khatereh Naghdi ◽  
Mahdi Safdarian ◽  
Aidin Abedi ◽  
Mohammad Reza Zarei ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Data Quality ◽  
National Registry ◽  
And Control ◽  
The Impact ◽  
Quality Assurance And Control

Core analysis with emphasis on carbonate rocks — quality assurance and control for accuracy and representativeness

2015 ◽  
Vol 3 (1) ◽  
pp. SA91-SA106 ◽  
Author(s):  
Shouxiang Mark Ma ◽  
Maclean Amabeoku
Keyword(s):  
Quality Assurance ◽  
Data Quality ◽  
Analysis Data ◽  
Core Sample ◽  
Core Analysis ◽  
Formation Evaluation ◽  
Test Conditions ◽  
Fit For Purpose ◽  
And Control ◽  
Quality Assurance And Control

Accurate and representative core data should be used as the ground truth in formation evaluation, reservoir surveillance, and other relevant geoscience applications because the measurements are more direct than estimations from other petrophysical measurements such as logs. To ensure accuracy and representativeness, the rock and fluid samples should represent the reservoir; test conditions, test equipment, and test procedures need to be fit for purpose. In addition, the core analysis program should satisfy clearly defined objectives, which, unfortunately, is not generally applied in the industry. In this paper, we discussed general core analysis data quality assurance and control, with emphasis on carbonate core analysis when applicable. We started with recommended workflows for coring and coring fluid selection, conducting routine and fit-for-purpose special core analysis tests, and core analysis fluid selection and preparation. We then provided some tips and potential pitfalls useful to know in core analysis data quality assurance and control, including core sample screening and selection, criteria used in core sample cleaning and drying, and potential issues related to test conditions and procedures. We also illustrated applications of quality-controlled core data in formation evaluation and reservoir surveillance.

scholarly journals A Generalized Approach to Data Quality Assurance and Control of Large, Complex Data Structures Using SAS

1989 ◽  
Vol 12 (4) ◽  
pp. 25
Author(s):  
Herbert C. Reynolds ◽  
Donald P. Trees
Keyword(s):  
Quality Assurance ◽  
Data Quality ◽  
Data Structures ◽  
Complex Data ◽  
Large Complex ◽  
And Control ◽  
Quality Assurance And Control

A Generalized Approach to Data Quality Assurance and Control of Large, Complex Data Structures Using SAS

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