Overview
Sysrev is a comprehensive, web-based collaborative platform engineered to streamline the systematic review, literature screening, and data extraction processes. Built for researchers, data scientists, and enterprise teams, Sysrev allows users to ingest vast amounts of unstructured data—ranging from PDFs and RIS files to direct imports from PubMed and ClinicalTrials.gov. Teams collaboratively screen documents against custom-defined inclusion/exclusion criteria while extracting granular data points using categorical, boolean, and text-highlighting labels. What sets Sysrev apart is its integrated active learning machine learning algorithms; as human reviewers label documents, the system trains predictive models in the background to automatically score the relevance of unscreened documents, drastically reducing manual workload. The platform robustly handles inter-rater reliability, offering detailed concordance metrics and dedicated conflict resolution workflows. With an accessible API and flexible export options, Sysrev is widely utilized in biomedical research, environmental science, and enterprise NLP training pipelines, offering free access for public projects and secure, isolated environments for proprietary enterprise work.