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Article

A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools

1
Department of Informatics Engineering, University of Cadiz, 11519 Puerto Real, Spain
2
Department of Information and Analytical Security Systems, Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, Russia
*
Author to whom correspondence should be addressed.
Academic Editor: Miguel Ángel Conde
Appl. Sci. 2021, 11(12), 5527; https://doi.org/10.3390/app11125527
Received: 27 May 2021 / Revised: 9 June 2021 / Accepted: 11 June 2021 / Published: 15 June 2021
(This article belongs to the Special Issue Innovations in the Field of Cloud Computing and Education)
Systematic reviews are powerful methods used to determine the state-of-the-art in a given field from existing studies and literature. They are critical but time-consuming in research and decision making for various disciplines. When conducting a review, a large volume of data is usually generated from relevant studies. Computer-based tools are often used to manage such data and to support the systematic review process. This paper describes a comprehensive analysis to gather the required features of a systematic review tool, in order to support the complete evidence synthesis process. We propose a framework, elaborated by consulting experts in different knowledge areas, to evaluate significant features and thus reinforce existing tool capabilities. The framework will be used to enhance the currently available functionality of CloudSERA, a cloud-based systematic review tool focused on Computer Science, to implement evidence-based systematic review processes in other disciplines. View Full-Text
Keywords: systematic review tool; systematic review protocol; evidence synthesis methods; evidence-based research systematic review tool; systematic review protocol; evidence synthesis methods; evidence-based research
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MDPI and ACS Style

Person, T.; Ruiz-Rube, I.; Mota, J.M.; Cobo, M.J.; Tselykh, A.; Dodero, J.M. A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools. Appl. Sci. 2021, 11, 5527. https://doi.org/10.3390/app11125527

AMA Style

Person T, Ruiz-Rube I, Mota JM, Cobo MJ, Tselykh A, Dodero JM. A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools. Applied Sciences. 2021; 11(12):5527. https://doi.org/10.3390/app11125527

Chicago/Turabian Style

Person, Tatiana, Iván Ruiz-Rube, José M. Mota, Manuel J. Cobo, Alexey Tselykh, and Juan M. Dodero. 2021. "A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools" Applied Sciences 11, no. 12: 5527. https://doi.org/10.3390/app11125527

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