Software to Support the Systematic Review Process

Date:

24/09/2020

Organised by:

York Health Economics Consortium

Presenter:

Julie Glanville (Associate Director at YHEC), Rachael McCool (Project Director at YHEC), Hannah Wood (Senior Information Specialist at YHEC), Mick Arber (Senior Information Specialist at YHEC) and Mary Edwards (Reviewer at YHEC).

Level:

Entry (no or almost no prior knowledge)

Contact:

Niki Baines, 01904323204, niki.baines@york.ac.uk

Map:

View in Google Maps  (YO10 5DD)

Venue:

University of York

Description:

Systematic reviews can be time consuming, logistically challenging and labour intensive. These and other challenges have led to the development of various special-purpose software tools to support the systematic review production process. Such tools extend beyond the scope of more established general-purpose systems (e.g. reference managers, word processors and spreadsheet packages), which are already in wide use and, instead, aim to provide tailored support for particular review activities or the whole systematic review production process.

This workshop will provide an opportunity to learn about special-purpose software tools currently available to support systematic reviews and to share experiences of using software in practice. The workshop will examine and provide hands-on experience with both commercial and not-for-profit systematic review management packages (including Covidence, DistillerSR and EPPI-Reviewer), as well as a range of free and commercial tools to tackle single tasks within the systematic review process (such as Rayyan, RobotReviewer and SWIFT-Review).

We ask that you bring your own laptops to this course. If you do not have access to a laptop, please contact Niki (Training Course Administrator).

Cost:

Early bird: £240
Full price: £300

Website and registration:

Region:

Yorkshire and Humberside

Keywords:

Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Research Management and Impact, Research Skills, Communication and Dissemination

Related publications and presentations:

Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Research Management and Impact
Research Skills, Communication and Dissemination

Back to archive...