Automating Knowledge: A Case Study of Library Automation in of College Libraries of Dadra and Nagar Haveli
Description
Research Design: Mixed-methods approach, combining quantitative and qualitative methods. Data Collection: - Survey questionnaire (Google Forms) with 500 respondents from 10 college libraries. - In-depth interviews with 20 librarians and library administrators. - Observational studies in 5 college libraries. Data Analysis: - Descriptive statistics (mean, median, mode, standard deviation). - Inferential statistics (t-tests, ANOVA). - Thematic analysis for qualitative data. Instruments and Software: - Google Forms - Microsoft Excel - SPSS - NVivo Protocols: - Survey protocol: pilot-tested with a small group. - Interview protocol: used an interview guide. Workflows: - Data cleaning and validation.
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Research Design: - Mixed-Methods Approach: A combination of quantitative and qualitative methods was used to collect and analyze data. - Case Study: The research focused on college libraries in Dadra and Nagar Haveli. Data Collection Methods: Quantitative Data: 1. Survey Questionnaire: A structured questionnaire was designed to collect data from students and faculty members. 2. Sampling Technique: A random sampling technique was used to select 500 respondents from 10 college libraries. 3. Data Collection Tool: Google Forms was used to collect survey data. Qualitative Data: 1. In-Depth Interviews: Semi-structured interviews were conducted with 20 librarians and library administrators. 2. Observational Studies: Observational studies were conducted in 5 college libraries to examine the impact of automation on library operations. Data Analysis Methods: 1. Descriptive Statistics: Mean, median, mode, and standard deviation were used to analyze quantitative data. 2. Inferential Statistics: T-tests and ANOVA were used to compare means and examine differences between groups. 3. Thematic Analysis: Qualitative data was analyzed using thematic analysis to identify patterns and themes. Instruments and Software: 1. Google Forms: Used for survey data collection. 2. Microsoft Excel: Used for data analysis and visualization. 3. SPSS: Used for statistical analysis. 4. NVivo: Used for qualitative data analysis. Protocols: 1. Survey Protocol: The survey questionnaire was pilot-tested with a small group of respondents to ensure validity and reliability. 2. Interview Protocol: An interview guide was developed to ensure consistency in data collection. Workflows: 1. Data Cleaning: Data was cleaned and checked for errors before analysis. 2. Data Validation: Data was validated to ensure accuracy and consistency. Reagents and Materials: N/A (Not applicable, as this is a social science research study)