The Systematic Literature Review Data Tool for Researchers

Streamline your systematic literature review workflow with automated duplicate detection across Scopus and Web of Science. Upload, match, deduplicate, and export — all in one place.

Streamline Your Literature Review Workflow

Everything you need to deduplicate and merge publication datasets from multiple academic databases.

Multi-Source Upload

Import publication data from Scopus (CSV) and Web of Science (XLS/XLSX) in a single workflow. More databases coming soon.

Automated Duplicate Detection

Identify duplicates across databases using DOI-based blocking and weighted fuzzy matching with a Dice coefficient algorithm.

Intelligent Field Mapping

Automatically map columns from different database exports to unified fields — Title, Authors, DOI, Year, Source, and more.

Unified Export

Export a deduplicated, Scopus-compatible CSV with 33 standardized columns ready for bibliometric analysis.

How SLReviewFlow Works

A guided four-step process to clean and unify your research data.

01

Upload

Upload your publication exports from Scopus and Web of Science

02

Map Fields

Map columns from each source to unified research fields

03

Detect Duplicates

Automatically find duplicate publications across your datasets

04

Export Results

Review matches, clean your data, and export a unified dataset

Advanced Duplicate Detection

Our weighted multi-field matching algorithm combines DOI-based blocking with fuzzy string similarity using the Dice coefficient to accurately identify duplicate publications across databases.

FieldWeightMethod
DOI5.0Exact identifier match
Title3.0Fuzzy string similarity
Authors1.5Jaccard similarity
Year1.0Exact match
Source1.0Fuzzy string similarity

Pairs scoring above a 0.85 threshold are flagged as potential duplicates for review.

More Data Sources Coming Soon

We are expanding support to include additional academic databases for even more comprehensive systematic reviews.

PubMedIEEE XploreEBSCOProQuestGoogle Scholar

Built for Academic Research by Researchers

Role-based access control with project isolation ensures your research data stays secure. From Research Students to Admins, every team member gets the right level of access.

Start Your Systematic Review Today

Join researchers who use SLReviewFlow to save hours on literature review deduplication.