Add files
Load the tables that belong to the same study.
Research Data Mergerby IMPLEMON
Private research data preparation
Merge the files.
Not the uncertainty.
Research data rarely arrives in one clean table. Bring participant rosters, survey exports, study files, and other datasets together by ID — while keeping questionable matches visible for you to review.
MacLocal processingNo uploadsDecision log
One-time purchase planned
The problem
One study.
Several almost-matching files.
A participant ID has an extra zero. One export has spaces. Another file contains a duplicate. Two columns share a name but not the same values. A normal merge can quietly turn those details into bad data. Research Data Merger makes them review steps instead.
Choose IDs
Pick the base table and ID column for each source.
Review
See duplicates, formatting issues, near matches, and conflicts.
Approve
You decide which suggested changes are correct.
Export
Save merged data with audit and provenance records.
Review before merge
It can suggest.
It does not quietly decide.
Formatting cleanup and possible near-ID matches stay visible until you approve them. If a cleanup would create a duplicate ID, the app blocks it instead of guessing.
Your base table defines who belongs in the final dataset. IDs found only in source files are reported, not silently added as new participants.
ID format review
P0009 → P009Inconsistent ID width
✓ SAFE SUGGESTION*P010 → P010Unexpected prefix detected
✓ SAFE SUGGESTION#P001 → P001Would collide with an existing ID
⚠ CANNOT APPLYP003X → P003Possible near-ID match · review required
REVIEW
Built for the messy middle
More than “combine these spreadsheets.”
Catch spacing, padding, case, email-style IDs, conservative symbol prefixes, and typo-like near matches.
See duplicate and missing IDs before the merge, with collision-causing cleanups blocked.
When same-name columns disagree, choose what should happen instead of losing the difference.
Keep a readable record of ID cleanups, reviewed matches, source-only IDs, and column decisions.
Create a de-identified copy after merging when you need a cleaner dataset for downstream work.
Optional wide/long reshaping is available after the merge without turning the app into a statistics package.
A workflow you can see
Set it up. Review it. Check the result.
Choose how tables line up
Select the base table and the ID column for each source before anything is merged.
See what the merge produced
Check row, column, source, cleanup, and reviewed-match counts before exporting the result.
Local by design
Your study files stay on your Mac.
NO AINO CLOUDNO DATA UPLOADSNO INTERNET REQUIRED
Your files are processed locally on your Mac. Your research data is not sent to IMPLEMON or a third-party server.
Excel .xlsxCSVTSVSPSS .savStata .dtaText-based PDF
100% local processing.
Open your files, review the merge, and export the result without uploading your study data. Text-based PDFs are supported; scanned/image-only PDFs are not automatically OCR’d.
Who it is for
For researchers who spend too much time fixing the merge.
Useful for behavioral and social science workflows, survey studies, participant panels, lab rosters, longitudinal files, and other projects where several datasets need to line up by ID.
It can also work with other ID-based datasets, but the product is intentionally designed around research data preparation first.
Research Data Merger
Cleaner merge. Clearer decisions.
Mac · local processing · one-time purchase planned. Preparing for launch.