Volume 11, Issue 4 (1-2025)
Human Information Interaction 2025, 11(4): 0-0 |
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Taghizadeh Milani K, Karbala Aghaei Kamran M, Ghaebi A. Research Data Evaluation and Selection Criteria for Preservation in Data Repositories. Human Information Interaction 2025; 11 (4)
URL: http://hii.khu.ac.ir/article-1-3185-en.html
URL: http://hii.khu.ac.ir/article-1-3185-en.html
Alzahra University
Abstract: (369 Views)
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.
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.
Keywords: Research data, research data management, research data evaluation, research data selection, data management, data repositories
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