Take the opportunity to join the pilot of study-centric data in RevMan Web! Learn more about the advantages of study-centric data and why it’s important on the Community website.
Why?
If you join the pilot of study-centric data in RevMan Web you will get the chance to:
- Trial a new process of managing data and setting up analyses in RevMan Web with a high level of support
- Impact further development of study- centric data in RevMan Web
- Evaluate the overall user experience of the new process
What?
Using study-centric data means that the review process will consist of:
- Setting up review-level interventions, outcomes and (optionally) covariates
- Defining the study arms and rather than entering the data in the analysis you add it within each study
- Automatically generating analyses by choosing the synthesis PICO (Outcome, Experimental intervention, Control intervention and possibly covariates to subgroup by)
Who?
This pilot is suitable for your review author team:
- if you are interested in new technology in the review production process
- if your review group is working on an intervention review and you are about to start or complete data extraction (updates are eligible and there is a migration tool to support this)
Support for review teams in the pilot
Initial call with pilot group
Review author teams involved in the pilot will be invited to attend an introductory call where the Managing Editor of the review group is also invited. This session will outline plans for the pilot and how your review fits into it as well as showcase study-centric data functionality in RevMan Web. It will also provide the author team with the opportunity to ask any questions they have.
Video calls
Individual feedback sessions for the review groups will be set up using GoTo Meeting teleconference software on a regular basis and general calls open to all pilot participants will be arranged so learning and experience can be shared across the pilot groups.
Training materials
The knowledge base contains video tutorials and how-to articles to help you get started with using study-centric data. There you can find clear descriptions of which types of analyses you will need to continue to use custom input data for.