Data Cleansing & Curation
Data quality review, outlier and missing value detection and treatment, proper variable coding, and structured organization to ensure reliable analysis.
What it is
We turn raw research data into a dataset that is ready for statistical analysis.
We review the quality of your data, treat outliers and missing values, code the variables properly and organize everything in a clear structure, so the analysis that follows can be trusted.
What's included
- Quality assessmentWe find and handle inconsistencies, entry errors and outliers.
- StandardizationOne format, one nomenclature and one set of categories across the whole dataset.
- Technical structuringClearly labelled variables, ready to import into SPSS, R or Stata.
- ValidationA final check to reduce methodological errors.
- Expert supportAnswers to your methodological questions about the curated data.
What you receive
- Analysis-ready databaseExcel · CSVCleaned, coded and organized for analysis.
- Data dictionaryWhat each variable means and how it is coded.
- Procedure logThe criteria and methods used, step by step.
- Quality reportPDFWhat we found and what we recommend.
- Original and corrected datasetsBoth versions, for version control.
Frequently asked questions
Will you overwrite my original data?
No. You receive both the original and the corrected dataset, plus a log of every change.
How is it different from descriptive statistics?
Curation cleans and organizes the database. Descriptive statistics then interprets and summarizes it.
Is my data kept confidential?
Yes. Your data is handled under confidentiality agreements.
Tell us about your study
We reply with questions and a quote.