Speaker
Description
Background
The growing volume and complexity of data, particularly in health and social research, present significant challenges, particularly in terms of data security and access to secure datasets. These issues are compounded when working with vulnerable populations, exposing data to potential cybersecurity risks. AI-powered tools like Chisquares are addressing these challenges by embedding advanced security features—such as encryption, data protection compliance, and secure storage—ensuring data safety while promoting inclusivity and accessibility for researchers in high-risk environments.
Methods
This study examines how AI-powered tools, with Chisquares as a case study, enhance data security and streamline research workflows. It highlights advanced security measures, including encryption, compliance with global data protection regulations, and flexible data storage options. We also demonstrate how these tools reduce the technical burden on researchers while maintaining data integrity and privacy.
Results
AI-powered platforms like Chisquares enhance research workflows by providing secure data access and storage through features such as encryption, role-based access controls, and data protection compliance. These platforms also support offline functionality, ensuring secure data handling in areas with limited internet access. Furthermore, over 80% of tasks, from data cleaning to manuscript preparation, are automated, with built-in safeguards for accuracy and security. By integrating data management into a single platform, these tools mitigate the risks associated with transferring data across multiple systems.
Conclusion
AI-powered tools like Chisquares are transforming research by embedding security throughout the process. They provide secure data access, offline functionality, and flexible data storage options, empowering researchers to handle sensitive information with confidence. These tools not only protect data but also enable impactful, data-driven research, particularly in resource-constrained and high-risk settings, ultimately supporting better public health outcomes.
