features What is Sysrev for? Literature Reviews and Data Curation Sysrev is a powerful, collaborative platform for document review. Whether conducting a literature review or curating data from machine learning, Sysrev offers a versatile feature set to optimize even the most complex data extraction tasks.
code RSysrev - Creating a data set and importing articles to sysrev with R The RSysrev client can be used to create projects on sysrev.com and upload json documents for review. In this project, we use RSysrev to create a review of NIH opioid crisis small
Account Types Sysrev has 4 different account types described at sysrev.com/pricing. Sysrev account typesFreeSysrev free allows you to create public projects and invite as many reviewers as you like. Public projects are open
product release Premium Feature Release: Group Labels Premium Feature Release: Group Labels Sysrev Pro and Team Pro subscribers now have access to "Group Labels." Group Labels allow reviewers to extract repeating sets of information on an as-needed basis.
case study Supporting COVID Research: Rapid Reviews on Sysrev Over the course of two months, a multinational team used Sysrev to assess the clinical characteristics and the risk factors associated with SARS CoV2 in patients with Chronic Kidney Disease.
analytics Sysrev Analytics Dashboard: Concordance Introducing Sysrev Analytics: Concordance. The Concordance Tool provides insight into reviewer agreement and label consistency.
features Cloning Projects on Sysrev Sysrev now offers project 'cloning.' Cloning makes it easy to review shared data sources, create templates, and streamline workflows.
Phylogeny of SoT Companies The annual society of toxicology conference has 288 company booths. We built a phylogeny of those companies. Companies are clustered by similarity of their products and descriptions. Example products and companies are given
data extraction Extracting Data from Partially Structured Sources Partially structured data sources are goldmines of information, yet consist of large documents that are cumbersome to review. This post explores how the hierarchy of the document can be leveraged for more efficient data extraction.
data extraction Managed Review and Data Extraction Managed Reviews have two main benefits for Sponsor organizations. First and foremost, Managed Reviews generate new, standardized data. Second, they redistribute the work -- freeing up data scientists time to focus on analyzing data and creating value.
artificial intelligence Generating Insights - Analysis Mangiferin Managed Review Data The Mangiferin Managed review extracted over 3500 pieces of information. In this blog, we analyze boolean, categorical, and string labels to generate further insights from the literature.
data extraction 'Mangiferin' 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 Feature 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.
data-science 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,
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 Sysrev provides funding for interesting small projects. Previously funded projects include:A systematic map of global insect population and diversity trends.COVID 19 and Chronic Kidney DiseaseAt this time we are not actively
