Components Analysis Examination for Identifying Stronger Variables Related to Users’ Satisfaction in Research Data Management Systems of Subject-Related Libraries in Colombo District, Sri Lanka
Abstract
Back ground of the study: Research data can be identified in various formats. Research data management is a process for managing research data. Component analysis is a method for reducing many variables into a few. Most of studies have discussed factors affecting to user satisfaction-related information resources and services and. IT infrastructure. The study is based on the identification of a correlation between stronger variables and stronger components.
Purposes of the study: The objectives of the study were to identify stronger components related to research data management systems and identify stronger variables in components related to research data management systems. To identify users’ satisfaction levels with research data management systems.
Methodology: The study used six subject-related libraries in Colombo district, Sri Lanka. The sample size was 368, and a printed, structured questionnaire was distributed to registered library users. But 293 registered users responded (79%). The time horizon was cross-sectional. The approach is an inductive approach. The survey uses a quantitative method. Realism has defined philosophy. A statistical package for social science software is used. SPSS.
Results: The study identified four stronger components and variables related to those components. The results revealed that the components and the variables have significant relationships, and the identified stronger components have been correlated.
Implication Further study results suggest that the analyzed variables have an impact on user satisfaction and can be used to explore research data management services.
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References
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