Survey responses, field records, and experimental datasets rarely arrive in perfect condition. ColtraDataAi identifies quality issues, standardises formats, and gives you a documented cleaning trail, so your analysis is defensible from the start.
Research datasets rarely arrive clean. These are the data quality problems ColtraDataAi was built to address.
Free-text fields, inconsistent date entries, varied units of measurement, survey data almost always needs normalisation before it can be used reliably in analysis.
Gaps in the data aren't just inconvenient, if not identified and handled correctly, they introduce bias, reduce statistical power, and can undermine your findings entirely.
Research data cleaning can consume 60–80% of a project's time. That time should be spent on analysis, interpretation, and writing, not row-by-row spreadsheet work.
Manually cleaning data in Excel leaves no record of what decisions were made. Supervisors, reviewers, and peer reviewers expect documented, reproducible data handling.
Systematic, documented cleaning that prepares your dataset for rigorous analysis, and stands up to scrutiny when it matters.
ColtraDataAi applies consistent, documented cleaning operations to your dataset and records every change, giving you a reproducible, reviewable cleaning trail you can share with supervisors or co-authors.
Surface every gap in your dataset immediately, with counts and column-level breakdowns. Know exactly what's missing, where it's missing, and how prevalent the problem is before analysis begins.
Inconsistent date entries, mixed capitalisation, varied number formats, ColtraDataAi normalises them systematically and consistently, not row by row with manual judgement calls.
Export a clean, standardised CSV or Excel file ready for SPSS, R, Python, Stata, or any statistical software. Skip the data prep and get straight to the analysis your research actually requires.
Systematic, documented, reproducible. Everything your data cleaning process needs to be.
Duplicates, missing values, format inconsistencies, identified and resolved systematically across your entire dataset.
Every operation documented. Every change traceable. A cleaning log you can attach to your methodology section.
Column-level quality statistics: missing value counts, duplicate rates, format compliance, documented before and after cleaning.
Download a standardised CSV or Excel file ready to import directly into SPSS, R, Python, or Stata.
Research data, including participant data, processed securely and never permanently stored. GDPR-compliant.
Clean a dataset in the field, on campus, or at home. Browser-based, no software installation required.
No integration required. Export your data as CSV or Excel and upload it directly.
Three steps. No coding. A documented process you can reproduce and report.
Upload your survey export, field data, or experimental dataset in Excel or CSV format.
ColtraDataAi cleans systematically and logs every change, your cleaning decisions are recorded automatically.
Download the clean dataset and cleaning log. Import into your statistical tool and begin your analysis.
No hidden fees. Cancel anytime.
Everything you need to know before you upload your first file.
Start free, no credit card required. Upload your dataset and see how much faster your research can move.