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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Bibliographic Details
Published inApplied sciences Vol. 11; no. 12; p. 5527
Main Authors Person, Tatiana, Ruiz-Rube, Iván, Mota, José Miguel, Cobo, Manuel Jesús, Tselykh, Alexey, Dodero, Juan Manuel
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2021
Subjects
Aggregates
Bibliometrics
Computer science
Decision making
evidence synthesis methods
evidence-based research
Health sciences
Literature reviews
R&D
Research & development
Research methodology
Reviews
Software engineering
Systematic review
systematic review protocol
systematic review tool
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Summary: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.
ISSN:2076-3417
2076-3417
DOI:10.3390/app11125527