Published: 4 September 2023| Version 1 | DOI: 10.17632/9gggmyhhss.1
Amrik Singh,


The Psychological Food Safety and Sovereignty Analysis (PFSSA) dataset is a comprehensive collection of data and analysis pertaining to individuals' perceptions of food safety, sovereignty, and support in obtaining chemical-free and pesticide-free food from nearby sources such as shopping centers, farms, urban gardens, and neighbors. This dataset aims to provide insights into individuals' beliefs, attitudes, and behaviors related to the safety and quality of food available in their local environment. The PFSSA dataset consists of the following items: Questionnaire Design: This component of the dataset includes the design and structure of the questionnaire used to collect information for the PFSSA analysis. The questionnaire is carefully crafted to capture various aspects related to food safety, sovereignty, and access to chemical-free and pesticide-free food. It comprises 14 sections of questions covering different dimensions of individuals' perceptions and behaviors. Responses (CSV file): This part of the dataset contains the responses collected from participants based on the questionnaire mentioned above. The responses are stored in a CSV (Comma-Separated Values) file format, ensuring easy accessibility and compatibility with various data analysis tools and software. Analysis of the Collected Data: The dataset includes an analysis of the collected data, presenting insights, patterns, and trends derived from the responses. The analysis encompasses statistical measures, data visualization, and interpretation of the findings. It sheds light on the relationships between individuals' beliefs, attitudes, and behaviors related to food safety and sovereignty. By making the PFSSA dataset publicly available, researchers interested in the field of food safety, sovereignty, and related psychological analysis can access and utilize this dataset to reproduce the research work, validate findings, and conduct further investigations. The dataset fosters transparency and reproducibility, enabling future researchers to build upon the existing knowledge and contribute to advancements in the understanding of individuals' perceptions and behaviors concerning chemical-free and pesticide-free food. Please note that proper attribution and citation of the dataset should be provided to ensure the acknowledgment of the original researchers and their contributions to the field.'



MBS College of Engineering and Technology


Food Safety