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VERSION:2.0
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TZID:Europe/Amsterdam
X-WR-TIMEZONE:Europe/Amsterdam
BEGIN:VEVENT
UID:356@bmi-online.nl
DTSTART:20230330T190000Z
DTEND:20230330T203000Z
DTSTAMP:20230120T082627Z
URL:https://www.bmi-online.nl/events/selecting-and-using-data-extraction-t
 ools-online/
SUMMARY:Selecting and Using Data Extraction Tools (online)
DESCRIPTION:Gaelen P. Adam\, a member of the team that developed the SRDR+ 
 system for extracting and archiving systematic review data and an author o
 n more than 20 reviews\, will show you how you can expand your role in sys
 tematic reviews by learning how to find\, assess\, and use data extraction
  tools and advise teams on selecting a tool. Members of review teams may b
 e unaware that data extraction tools exist or how to effectively use them.
  You’ll leave the webinar with powerful knowledge and skills that will s
 ignificantly increase your value on review teams.\n\nYou’ll learn what d
 ata extraction tools are and how they work. You’ll explore ways to ident
 ify tools using the SR Toolbox\, a free online catalog of systematic revie
 w tools. You’ll see how to classify tools based on their features and ca
 pabilities and gain an overview of the pluses and minuses of commonly used
  tools (e.g.\, EPPI Reviewer\, Covidence\, PICO Portal\, as well as Word a
 nd Excel\, and\, of course\, SRDR+). Data extraction tool development and 
 refinement is ongoing\, and if you understand how to use and evaluate tool
 s\, you’ll be able to monitor the literature and use the SR Toolbox to f
 ind new tools.\n\nYou’ll also learn what to consider when comparing and 
 choosing a tool\, incorporating team preferences\, the review topic\, and 
 team needs. During the session\, you’ll work through exercises to define
  a team’s needs based on cost\, usability\, product support\, and what a
  team wants from a tool (e.g.\, flexibility or a prescribed approach\, dat
 a extraction only or integration with literature identification and meta-a
 nalysis).\n\nYou’ll end the webinar with a group exercise in SRDR+ that 
 includes designing a simple data extraction form and extracting a single r
 andomized controlled trial into that form.\n\nMore information.
CATEGORIES:Cursussen en congressen,Workshop
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