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Individuals interviewed held positions where they were responsible for data quality, data analysis, and maintenance decision making for Trafikverket.
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They are organized in the following topical sections: data wrangling and data integration; data analysis and data mining; graph data querying and analysis; multidimensional data and data quality; and distributed and multimedia data management.
Topics covered include study design, technical issues, data collection, quality assurance, data analysis and presentation.
Principal component analysis (PCA) was used for preliminary data analysis and quality control.
Initial data analysis will be conducted to assess for data quality including allowable ranges, data structure and errors.
As a member of the Research Core, Mr. Zhang also provides data management, quality assurance/quality control, data analysis and reports for Dr. Sonya Shin's CASA study.
GeneSpring software was used for data analysis and quality control.
for the data analysis and visualization.
In this Data Descriptor, we present detailed information on experimental design, data generation, quality control analysis, and data validation.
For each step we discuss the potential effects on data analysis and final data quality.
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