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

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

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 fr...

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Main Authors: Tatiana Person, Iván Ruiz-Rube, José Miguel Mota, Manuel Jesús Cobo, Alexey Tselykh, Juan Manuel Dodero
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
systematic review tool
systematic review protocol
evidence synthesis methods
evidence-based research
Online Access:https://www.mdpi.com/2076-3417/11/12/5527
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spelling doaj-a51f018a65594da3bce8631665deaba22021-07-01T00:12:31ZengMDPI AGApplied Sciences2076-34172021-06-01115527552710.3390/app11125527A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review ToolsTatiana Person0Iván Ruiz-Rube1José Miguel Mota2Manuel Jesús Cobo3Alexey Tselykh4Juan Manuel Dodero5Department of Informatics Engineering, University of Cadiz, 11519 Puerto Real, SpainDepartment of Informatics Engineering, University of Cadiz, 11519 Puerto Real, SpainDepartment of Informatics Engineering, University of Cadiz, 11519 Puerto Real, SpainDepartment of Informatics Engineering, University of Cadiz, 11519 Puerto Real, SpainDepartment of Information and Analytical Security Systems, Institute of Computer Technologies and Information Security, Southern Federal University, 347922 Taganrog, RussiaDepartment of Informatics Engineering, University of Cadiz, 11519 Puerto Real, SpainSystematic 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.https://www.mdpi.com/2076-3417/11/12/5527systematic review toolsystematic review protocolevidence synthesis methodsevidence-based research
collection DOAJ
language English
format Article
sources DOAJ
author Tatiana Person
Iván Ruiz-Rube
José Miguel Mota
Manuel Jesús Cobo
Alexey Tselykh
Juan Manuel Dodero
spellingShingle Tatiana Person
Iván Ruiz-Rube
José Miguel Mota
Manuel Jesús Cobo
Alexey Tselykh
Juan Manuel Dodero
A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
Applied Sciences
systematic review tool
systematic review protocol
evidence synthesis methods
evidence-based research
author_facet Tatiana Person
Iván Ruiz-Rube
José Miguel Mota
Manuel Jesús Cobo
Alexey Tselykh
Juan Manuel Dodero
author_sort Tatiana Person
title A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
title_short A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
title_full A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
title_fullStr A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
title_full_unstemmed A Comprehensive Framework to Reinforce Evidence Synthesis Features in Cloud-Based Systematic Review Tools
title_sort comprehensive framework to reinforce evidence synthesis features in cloud-based systematic review tools
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-06-01
description 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.
topic systematic review tool
systematic review protocol
evidence synthesis methods
evidence-based research
url https://www.mdpi.com/2076-3417/11/12/5527
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