Systematic review, meta-analysis, and other forms of evidence synthesis require researchers to identify the body of evidence relevant to their research question. Partially automating evidence synthesis would reduce the amount of human time and effort needed to conduct a systematic review and reduce bias in keyword selection when researchers develop search strategies.
If you have an idea for a feature request, you can either initiate a request (see section above), or you can try to come up with a fix or new feature yourself. You can also work on fixes to open Issues on the litsearchr repository that others have created.
Feel free to fork the litsearchr repository, add or modify functions to make litsearchr capable of doing more, and then once you've checked that the changes (probably) don't break any other functions, you can make a pull request and once Eliza has double-checked that the feature increases the functionality of litsearchr and works well with the other functions, she will merge it into the development version of the package for the next release.
synthesisrImport, assemble, and deduplicate bibliographic data stored as RIS or BibTex formatted text files.
revtoolsArticle screening for evidence synthesis using manual or visual methods.
topictaggerTag documents with meta-data and based on user-defined ontologies or topic groups.
metaDigitiseHigh-throughput, reproducible extraction of data from figures.
robvisCreate publication quality risk-of-bias assessment figures.
Evidence Synthesis HackathonA series to bring together interested researchers, practitioners and coders to discuss and develop new Open Source technologies for evidence synthesis applications.