Volume 27, Issue 4 (1-2025)
jha 2025, 27(4): 84-100 |
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Dehkhodaei R, Karamali M, Mohamadian M, Bahadori M, Abbasi Farajzadeh M. Developing a knowledge tree model in health research centers: from theory to practice. jha 2025; 27 (4) :84-100
URL: http://jha.iums.ac.ir/article-1-4602-en.html
URL: http://jha.iums.ac.ir/article-1-4602-en.html
Reza Dehkhodaei1 
, Mazyar Karamali2 , Mohammad Mohamadian1 , MohammadKarim Bahadori1 , Mohsen Abbasi Farajzadeh3
, Mazyar Karamali2 , Mohammad Mohamadian1 , MohammadKarim Bahadori1 , Mohsen Abbasi Farajzadeh3
1- Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
2- Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. ,mazyar.karamali@gmail.com
3- Students Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran.
2- Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran. ,
3- Students Research Committee, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Abstract: (45 Views)
Introduction: The knowledge tree facilitates the monitoring of research and generated knowledge to ensure the growth and sustatainability of knowledge-based activities. This study aims to present a model for developing the knowledge tree research centers affiliated to medical universities.
Methods: This applied study employed a quantitative, descriptive-analytical approach. The statistical population included purposefully selected university research staff, research center managers, and experts in health and knowledge management, aimimg for maximum diversity. Content validity was assessed using an eight-member expert panel and the Content Validity Index (CVI).
Results: The five steps for developing a knowledge tree for research centers include: 1) identifying knowledge areas (reviewing strategic and upstream documents, identifying knowledge domains, knowledge types, and knowledge structures), 2) drawing the knowledge tree (identifying knowledge assets, stakeholders and knowledge users; analyzing knowledge needs and current status; establishing a knowledge tree working group), 3) defining the knowledge tree framework (determining the scope, type, and development approach for the knowledge tree), 4) collecting and analyzing knowledge keywords (designing acquisition tools, extracting representative keywords, preparing individual knowledge worksheets, categorizing and integrating keywords), and 5) designing and validating (structuring the tree, drawing relationships, visualization, validation, completion, and updating).
Conclusion: In research centers, knowledge representation is achieved by visualizing the knowledge tree, describing its features and relationships, and constructing the knowledge tree. This process improves the efficiency and quality of generated knowledge and enhances judgment by establishing connections between different knowledge areas.
Methods: This applied study employed a quantitative, descriptive-analytical approach. The statistical population included purposefully selected university research staff, research center managers, and experts in health and knowledge management, aimimg for maximum diversity. Content validity was assessed using an eight-member expert panel and the Content Validity Index (CVI).
Results: The five steps for developing a knowledge tree for research centers include: 1) identifying knowledge areas (reviewing strategic and upstream documents, identifying knowledge domains, knowledge types, and knowledge structures), 2) drawing the knowledge tree (identifying knowledge assets, stakeholders and knowledge users; analyzing knowledge needs and current status; establishing a knowledge tree working group), 3) defining the knowledge tree framework (determining the scope, type, and development approach for the knowledge tree), 4) collecting and analyzing knowledge keywords (designing acquisition tools, extracting representative keywords, preparing individual knowledge worksheets, categorizing and integrating keywords), and 5) designing and validating (structuring the tree, drawing relationships, visualization, validation, completion, and updating).
Conclusion: In research centers, knowledge representation is achieved by visualizing the knowledge tree, describing its features and relationships, and constructing the knowledge tree. This process improves the efficiency and quality of generated knowledge and enhances judgment by establishing connections between different knowledge areas.
Type of Study: Research |
Subject:
Medical Librarianship and Information Science
Received: 2025/01/4 | Accepted: 2025/07/16 | Published: 2025/07/27
Received: 2025/01/4 | Accepted: 2025/07/16 | Published: 2025/07/27
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