Increasing value and reducing waste in data extraction for systematic reviews: tracking data in data extraction forms

被引：0
|
作者：
Farhad Shokraneh
Clive E. Adams
机构：
[1] Cochrane Schizophrenia Group,
[2] The Institute of Mental Health,undefined
[3] A Partnership Between The University of Nottingham and Nottinghamshire Healthcare NHS Trust,undefined
[4] Research Center for Modeling in Health,undefined
[5] Institute for Futures Studies in Health,undefined
[6] Kerman University of Medical Sciences,undefined
来源：
Systematic Reviews | / 6卷
关键词：
Data extraction; Systematic reviews; Traceable data; Data location; Portable Document Format (PDF); Increasing value; Reducing waste;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Data extraction is one of the most time-consuming tasks in performing a systematic review. Extraction is often onto some sort of form. Sharing completed forms can be used to check quality and accuracy of extraction or for re-cycling data to other researchers for updating. However, validating each piece of extracted data is time-consuming and linking to source problematic.
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