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Meta-analysis of Systematic Literature Review Methods

Plenty data are generated each second under different locations and ways. In return, several valuable data are not used due to neglect or a wrong criteria selec-tion, affecting the results. To have the accurate decision the exact information is needed. But, in case of lack of data, an overall vision...

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Bibliographic Details
Published in:International journal of modern education and computer science 2019-02, Vol.11 (2), p.17-25
Main Authors: Tikito, Iman, Souissi, Nissrine
Format: Article
Language:English
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Summary:Plenty data are generated each second under different locations and ways. In return, several valuable data are not used due to neglect or a wrong criteria selec-tion, affecting the results. To have the accurate decision the exact information is needed. But, in case of lack of data, an overall vision about all existing findings make a big difference especially in Medicine. The approach of Systematic Literature Review give the possibility to have this clear vision related to a specific topic, for the right input. We aim to identify all important steps to conduct a high quality of systematic literature review, independently of research domain. We first explain the reason behind our research and the significance of Systematic Literature Review in research fields, one of the way for minimizing the loss of infor-mation. Since our goal is to have an explicit methodolo-gy, we select several papers mentioning the procedure in different years to have a general view. Subsequently, we explain the approaches used to select the key steps to follow for selected articles. We settle this study with a complete step resuming all finding key phases. This research highlight also the im-portance of the use of an explicit methodology to vanish any misunderstanding or ignoring basic points to accom-plish a valuable and high quality work. This paper make a clear complete methodology to fol-low, in any domain and specially medicine, to conduct a best quality of Systematic Literature Review and reach the right gain using best practices.
ISSN:2075-0161
2075-017X
DOI:10.5815/ijmecs.2019.02.03