data extraction 'Managiferin' Managed Review - A Case Study in Data Extraction Step-by-step details of a Sysrev Managed Review with a special focus on the unique machine learning features which optimized the review process.
Getting Started How to do a PDF review in 2 steps Reviewing PDFs on sysrev is easy. Just create the review, and upload a zip file.To create a project, first you will need to register at sysrev.com. Then type in the name
Getting Started Product Release: Full RIS Import Support Product Release: Sysrev now supports imports using the RIS file format (also known as RefMan). Full RIS Import Support is the first of many features in our pipeline that will increase Sysrev's versatility in research.
artificial intelligence Which Genes Matter? Putting NER To Use This post will show how extracted data can inform models and actionable applications – using the real world examples of the Gene Hunter Project and WhichGenesMatter.com.
data extraction Sysrev Helps Create Chemical Transparency for Manufacturers SysRev allowed us to remotely extract chemical information from SDSs at three separate facility locations using multiple people. The process was easy, verifiable, inexpensive...
data extraction Why are you still using excel for data extraction? Spreadsheet programs are NOT suited for document review tasks. Fortunately, where spreadsheets are insufficient, Sysrev excels.
How does machine learning work at sysrev? Sysrev automatically builds machine learning models at every stage of review.In each sysrev users can screen articles in their corpus by marking them as an 'include' or 'exclude'. While reviewing a sysrev
systematic review Sysrev: A Powerful Covidence Replacement - Part 2: Feature Comparison Sysrev matches and exceeds Covidence's review capabilities.As Part 1 of this blog showed, Sysrev is a cheaper alternative to Covidence, that facilitates both rigorous and more generalized document reviews, and has unique
systematic review Sysrev: A Powerful Covidence Replacement Sysrev provides more functionality than Covidence - at a fraction of the price.
pharmacovigilance Pharmacovigilance -- "Living Reviews" Applied As Dr. Jon Brock discussed last month in Nature, there is a fundamental obstacle when conducting any document review, especially systematic reviews: new information. The purpose of every review, regardless of its protocols,
features A New Analytics Dashboard! How do you know who to trust in a review?Sysrev just launched a new analytics dashboard. This is still a work in progress, but if you like to play with new toys
What is Sysrev? Sysrev is the first open access document review platform. It innovates on systematic review through Open Access Principles, Generalization, Human-Machine Interface, and Data Streams.
Sysrev "Proof of Review" - How to demonstrate innovation in a grant or paper Precedence is a powerful human motivator, but how do you prove you are first?Innovation is a key criteria in the evaluation of new work. Why do something if it has already been
Sysrev Mini-Grants: Funding for open-access reviews We are launching a new mini-grant program to help bootstrap open access reviews. On Sept 30 we will select two public reviews to receive $1000 for reviewer payments. All kinds of document review
Getting Started What is systematic review? Systematic reviews collect and analyze documents to find answers to important questions. The #sysrev community is revolutionizing review by upgrading traditional techniques with modern web applications and artificial intelligence.
Getting Started How will FAIR principles change literature review? Making research more FAIR to increase transparency, improve quality, and rebuild public trust in science
Getting Started Muting the echo chamber The internet's growing echo chamber polarizes discourse and generates extreme views. Because the internet feeds us information that agree with our views it is possible for our opinions to become unanchored from reality. It's time for cautious, careful thought to make a comeback.
code How to extract genes from text with Sysrev and spaCy Let's build an NER model for genes from 2000 abstracts reviewed in sysrev's Gene Hunter project. In ~5 minutes your model will identify genes in text.
