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

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 pi...

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Detalles Bibliográficos
Autores principales: Shokraneh, Farhad, Adams, Clive E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5544999/
https://www.ncbi.nlm.nih.gov/pubmed/28778216
http://dx.doi.org/10.1186/s13643-017-0546-z
Descripción
Sumario: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. In this methodology paper, we summarize three methods for reporting the location of data in original full-text reports, comparing their advantages and disadvantages. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0546-z) contains supplementary material, which is available to authorized users.

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