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Showing 2 results for Karbala Aghaei Kamran

Abbas Doulani, Nazila Khanoghlan, Masoumeh Karbala Aghaei Kamran,
Volume 7, Issue 3 (12-2020)
Abstract

Aim: The aim of this study is content and structural analysis of published articles in knowledge Management.
Methodology: The research method is analytical. The population encompassed all articles in the field of knowledge management indexed in the citation database of the Islamic world. Measurement tool is a checklist constructed based on research objectives.
Finding: Finding indicate that the utmost frequency is related to correlation research and the minimum is  experimental and combined research method. Also the maximum data analysis methods is descriptive-deductive and the least of that is another methods.  Most related to type of articles associated to research articles and journals. The most used research tool is the questionnaire. Co-authorship within the country is high. In contrast, it is insignificant at the international level. There is a meaningful relationship between the number, field and type of collaborations of authors and research methods used. 
Conclusion: Instigating collaboration between authors, especially international teamwork is the requirements of scientific production processes. Revising knowledge management researches is necessary due to the recurrence of research methods that similarly cause data analysis methods repetition in most research articles.
Kimiya Taghizadeh Milani, Massomeh Karbala Aghaei Kamran, Amir Ghaebi,
Volume 11, Issue 4 (1-2025)
Abstract

Purpose: The main purpose of the current research is to identify the components of evaluation and selection of research data for the use of data repositories operators based on international texts.
Method: This research was conducted using the meta-synthesis method and the Sandelowski and Barroso (2007) framework. Relevant keywords were utilized to search for studies in databases of various publishers and through citation tracking to ensure comprehensive coverage of identified sources. After multi-stage screening and applying inclusion and exclusion criteria, 48 English-language sources were selected from an initial pool of 3,080 sources. Additionally, the Kappa coefficient was employed to ensure the quality of extracted codes and maintain the reliability of the designed model.
Findings: The criteria for evaluating and selecting research data for preservation in data repositories were categorized into eight components, including Data preparation, data quality, physical conditions and technical features, metadata management and characteristics, ethical principles of data, document-related criteria, alignment with FAIR principles, and repository policies and issues, encompassing a total of 52 indicators.
Conclusion: This study identified criteria for evaluating and selecting research data for preservation in data repositories based on global authoritative literature. Applying these criteria can lead to sustainable preservation of data in repositories, enhance data quality, and strengthen research infrastructure.


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