Please use this identifier to cite or link to this item:
Title: A rapid review method for extremely large corpora of literature : applications to the domains of modelling, simulation, and management
Authors: Jahangirian, Mohsen
Eldabi, Tillal
Garg, Lalit
Jun, Gyuchan Thomas
Naseer, Aisha
Patel, Brijesh
Stergioulas, Lampros
Young, Terry
Keywords: Systematic reviews (Medical research)
Computer simulation
Issue Date: 2011
Publisher: Pergamon Press
Citation: Jahangirian, M., Eldabi, T., Garg, L., Jun, G. T., Naseer, A., Patel, B., ... & Young, T. (2011). A rapid review method for extremely large corpora of literature: applications to the domains of modelling, simulation, and management. International Journal of Information Management, 31(3), 234-243.
Abstract: While literature reviews with a large-scale scope are nowadays becoming a staple element of modern research practice, there are many challenges in taking on such an endeavour, yet little evidence of previous studies addressing these challenges exists. This paper introduces a practical and efficient review framework for extremely large corpora of literature, refined by five parallel implementations within a multi-disciplinary project aiming to map out the research and practice landscape of modelling, simulation, and management methods, spanning a variety of sectors of application where such methods have made a significant impact. Centred on searching and screening techniques along with the use of some emerging IT-assisted analytic and visualisation tools, the proposed framework consists of four key methodological elements to deal with the scale of the reviews, namely: (a) an incremental and iterative review structure, (b) a 3-stage screening phase including filtering, sampling and sifting, (c) use of visualisation tools, and (d) reference chasing (both forward and backward). Five parallel implementations of systematically conducted literature search and screening yielded a total initial search result of 146 087 papers, ultimately narrowed down to a final set of 1383 papers which was manageable within the limited time and other constraints of this research work.
Appears in Collections:Scholarly Works - FacICTCIS

Files in This Item:
File Description SizeFormat 
A_rapid_review_method_for_extremely_larg.pdf5.69 MBAdobe PDFView/Open

Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.