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Revista ORL

On-line version ISSN 2444-7986

Abstract

CODINA, Lluís. How to do traditional or systematic bibliographic reviews using academic databases. Rev. ORL [online]. 2020, vol.11, n.2, pp.139-153.  Epub Oct 13, 2020. ISSN 2444-7986.  https://dx.doi.org/10.14201/orl.22977.

Introduction and objectives:

Academic databases allow bibliographic reviews to be carried out that are free of bias and at the same time have maximum transparency and traceability.

Method:

We present, through questions and answers, the main keys that connect the use of academic databases with bibliographic, systematic or traditional reviews.

Results:

In each section, links to related entries are presented where the topics discussed are expanded for those who wish to study them further.

At the end a recommended bibliography is presented and the two important works on which we have mainly based this and other previous works on the same subject are highlighted.

Conclusions:

We have presented, in a question and answer system, the essential elements of the relationship between academic databases and bibliographic reviews. To understand this relationship, we have previously presented the functions of bibliographic reviews and their main products. We have also discussed in some detail the characteristics of the main dichotomy that exists in bibliographic reviews, namely traditional and systematic, with its alternative for Social Sciences and Humanities, which do not always work on interventions or on research results, which are the systematic approaches.

In the academic databases section, we have developed a group of questions and answers about their use. Showing the main components of the academic databases, as well as a procedure based on 6 phases, have also been shown.

In most of the sections, we have also added links to related resources, consisting of entries published on this same site where some of these sections are developed in extenso.

Keywords : Documentation; Bibliographic reviews; Systematized reviews; Labels; Ticket navigation; Databases.

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