Following the launch of the new cochrane.org website, we are working on restructuring the Community and the Training sites.
Until this work is finished, some content you find here may still be relevant but some may be outdated.

3.6 Features of the CRS

The CRS has many features, but some to highlight include:

  • The CRS has built-in machine learning (the Classifier), which uses the classifications from Cochrane Crowd to help users decide if a study report refers to an RCT or a CCT
  • The machine learning tools can also be used to help users decide whether a study or study report is within the scope of their Review Group, using the Group’s existing register as the basis for the classification
  • CRS has a triage function, which allows users to screen a batch of references within the CRS
  • Key words or phrases in a title and abstract can be highlighted to help users to screen records more quickly
  • Full text PDFs or other documentation can be attached to records
  • ClinicalTrials.gov is searchable from within the CRS
  • The CRS has sophisticated deduplication tools. Users can create their own filters to deduplicate, or use built-in filters
  • Duplicate records can be merged together, to get the best content from both records
  • There is a direct link to PubMed on records which have a PubMed ID number, and the fields in the record can be refreshed with PubMed content
  • Records can be tracked through the system, and those that have been assigned to a particular review have an audit trail
  • Records can be shared with other users in folders, enabling a team of people to work on the same batch of records