Step 1 · Data & Merge

Upload raw database exports and consolidate them into a single deduplicated dataset with one click.

Data & Merge screen — Raw Scopus and WoS exports, consolidated with a single Start Smart action.

Supported inputs

| Source | Format | How to export | | --- | --- | --- | | Web of Science | .txt (plain text) | Export → Plain text file → Full Record and Cited References | | Scopus | .csv | Export → CSV → All available information | | Excel | .xlsx | A previously prepared/consolidated dataset |

Upload any mix of files — multiple WoS parts (savedrecs (1).txt, …) are handled automatically.

One click does it all

Press Start Smart Merge. Preparation (converting raw files into a consolidated working format) runs implicitly first — there is no separate "prepare" step to remember.

While the job runs, you'll see live progress; when it completes, the analysis reports:

Per-source input counts — how many records came from each database
Duplicates found — cross-database matches identified by the algorithm
Final unique records — the consolidated dataset size

Smart Merge result — The active analysis with per-source counts and a copy-ready methodology paragraph.

The methodology paragraph

Every merge produces a copy-ready methodology paragraph describing exactly what happened — input counts, duplicate counts, final totals — ready to paste into your manuscript's data-preparation section.

How does matching work?

Smart Merge combines exact DOI/identifier matching with Jaro–Winkler title similarity in a five-stage pipeline. Full details in the Smart Merge deep dive.

Adding more data later

Upload new raw files at any time and re-run Smart Merge — a new isolated analysis is created, and the previous one stays available in the project history.