The course of Research in the Field of Knowledge Translation

Message:
Abstract:
Purpose
Translation of knowledge is a bridge from theory to practice guaranteeing that knowledge is rendered available to the people seeking it. The main purpose of the present study was to investigate The course of researchin the field of knowledge translation research databases (Science Direct, Taylor & Francis, Eric, and Emerald) and by subsidiary objectives included: determination of the rate of articles pertinent to our keyword “knowledge translation”, survey of review papers related to the development of knowledge translation in different years, to determine issues related to knowledge translation and to determination of the topics related to knowledge translation and also of the journals pertaining to the knowledge translation in medical and non-medical field in the databases in question.
Methodology
Finally data were analyzed by using bibliometric method. In order to analyze the data and draw diagramsExcel software was used.
Findings
Findings show that Science Direct database had 21 articles (18.27 percent) in non-medical issues and 94 articles (81.73 percent) in medical issues; Taylor & Francis had 12 articles (40 percent) in non-medical issues and 18 article (60 percent) in medical issues; Emerald database had 2 articles (66/66 percent) in non-medical issues, and 1 article (33/33 percent) in medical issues; and also the Eric database dedicated (100 percent) of articles to medical issues.
Conclusion
In general the survey of the course of research in the field of knowledge translation in databases showed the growing attention to the issue of knowledge translation. Even though knowledge translation has traditionally been receiving far more attention in the domain of medicine, it seems that the researches and scholars of other fields too are beginning to welcome it.. It is indicated that the discussion of knowledge translation is growing in all sciences and it can be applied in various disciplines of knowledge management of different scientific disciplines.
Language:
Persian
Published:
Journal of Knowledge Retrieval and Semantic Systems, Volume:1 Issue: 1, 2015
Page:
53
https://magiran.com/p1420145