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Data cleaning and transformation

Management (intranet) to ensure you show careful processing with research integrity Responsibilities Executing researcher: Keep the original file and make it read-only, so no alterations can be made. Only process further by using a copy of this…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-1-data-processing/data-cleaning-and-transformation/

Handling missing data

whether data are completely random or not. Data processing: Investigate the number of missing data you have (see 4.4) and estimate the need for imputation and think about the most adequate imputation method (see 4.5 and further). Data analyses: If…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-2-data-analysis/handling-missing-data/

Data management plan

programs to achieve this) privacy issues in data processing managing dataflow data cleaning data documentation meta-data schemes for the description of the data collection meta-data schemes to link your datasets to other datasets sustainable file…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-1-preparation/data-management-plan/