Haddaway, NR;
Callaghan, MW;
Collins, AM;
Lamb, WF;
Minx, JC;
Thomas, J;
John, D;
(2020)
On the use of computer-assistance to facilitate systematic mapping.
Campbell Systematic Reviews
, 16
(4)
, Article e1129. 10.1002/cl2.1129.
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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.
| Type: | Article |
|---|---|
| Title: | On the use of computer-assistance to facilitate systematic mapping |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/cl2.1129 |
| Publisher version: | https://doi.org/10.1002/cl2.1129 |
| Language: | English |
| Additional information: | This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Automation, evidence map, evidence synthesis, evidence synthesis technology, machine learning |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Social Research Institute |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10130754 |
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