On the use of computer‐assistance to facilitate systematic mapping release_o4wpevio5ne75pphyffy2ep3hu

by Neal R. Haddaway, Max W. Callaghan, Alexandra M. Collins, William F. Lamb, Jan C. Minx, James Thomas, Denny John

Published in Campbell Systematic Reviews by Wiley.

2020   Volume 16, Issue 4, e1129

Abstract

The volume of published academic research is growing rapidly and this new era of "big literature" poses new challenges to evidence synthesis, pushing traditional, manual methods of evidence synthesis to their limits. New technology developments, including machine learning, are likely to provide solutions to the problem of information overload and allow scaling of systematic maps to large and even vast literatures. In this paper, we outline how systematic maps lend themselves well to automation and computer-assistance. We believe that it is a major priority to consolidate efforts to develop and validate efficient, rigorous and robust applications of these novel technologies, ensuring the challenges of big literature do not prevent the future production of systematic maps.
In text/plain format

Archived Files and Locations

application/pdf  1.7 MB
file_ix3z6caqqvcdbfm3cdyfuqqora
spiral.imperial.ac.uk:8443 (web)
web.archive.org (webarchive)
application/pdf  1.8 MB
file_duve5cpsara7lmh3ip26c3ltc4
discovery.ucl.ac.uk (web)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2020-11-12
Language   en ?
DOI  10.1002/cl2.1129
PubMed  37016615
PMC  PMC8356330
Container Metadata
Open Access Publication
In DOAJ
In Keepers Registry
ISSN-L:  1891-1803
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: c9671ad3-4727-4246-bc39-19e52bc3bf69
API URL: JSON