Response to 'Increasing value and reducing waste in data extraction for systematic reviews: Tracking data in data extraction forms'

Jens Jap, Ian J. Saldanha, Bryant T. Smith, Joseph Lau, Tianjing Li

Research output: Contribution to journalLetter

Abstract

This is a response to a Letter. Data abstraction is a time-consuming and error-prone systematic review task. Shokraneh and Adams categorize available techniques for tracking data during data abstraction into three methods: simple annotation, descriptive addressing, and Cartesian coordinate system. While we agree with the categorization of the techniques, we disagree with the authors' statement that descriptive addressing is a PDF-independent method, i.e., any sort of descriptive addressing must reference a specific version of PDF file and not just any PDF of said report. Different versions of PDFs of the same report might place text and tables on different locations of the same page and/or on different pages. Consequently, it is our opinion that any kind of source location information should be accompanied by the source or linked by an intermediary service such as the Data Abstraction Assistant (DAA).

Original languageEnglish (US)
Article number18
JournalSystematic Reviews
Volume7
Issue number1
DOIs
StatePublished - Jan 25 2018

ASJC Scopus subject areas

  • Medicine (miscellaneous)

Cite this

Response to 'Increasing value and reducing waste in data extraction for systematic reviews : Tracking data in data extraction forms'. / Jap, Jens; Saldanha, Ian J.; Smith, Bryant T.; Lau, Joseph; Li, Tianjing.

In: Systematic Reviews, Vol. 7, No. 1, 18, 25.01.2018.

Research output: Contribution to journalLetter

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