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Development of a Secure Mobile Research Platform for Sports Psychology Data Collection
  1. case
  2. Development of a Secure Mobile Research Platform for Sports Psychology Data Collection

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Development of a Secure Mobile Research Platform for Sports Psychology Data Collection

snotor pro
Education
Sports
Health & Fitness

Challenges in Manual Data Collection and System Integration

Manual paper-based survey processes were time-consuming and error-prone, while integrating athlete performance data from external platforms (Qualtrics, Strava) presented technical complexities due to API inconsistencies and strict data security requirements for sensitive health information.

About the Client

Academic institution conducting sports psychology research to analyze the impact of sports performance on athletes' health and emotional well-being

Research Modernization and Data Efficiency Goals

  • Digitize and automate survey administration for seasonal athlete monitoring
  • Implement seamless API integrations with research and fitness platforms
  • Ensure GDPR-compliant data security for sensitive psychological/health data
  • Create a user-friendly interface for athletes and researchers

Core System Functionalities

  • Multi-factor user authentication for athletes and researchers
  • Dynamic quiz/questionnaire management via Qualtrics integration
  • Biometric/fitness data synchronization with Strava API
  • Secure messaging panel for researcher-participant communication
  • Personalized athlete profile tracking for emotional/physical states

Technology Stack Requirements

React Native
PHP
Laravel
TypeScript
Redux
React Navigation

External System Connectivity

  • Qualtrics API
  • Strava API

Operational and Security Standards

  • End-to-end encryption for data transmission/storage
  • Role-based access control (RBAC) implementation
  • Cross-platform compatibility (iOS/Android)
  • 99.9% system uptime during research periods
  • Compliance with GDPR and academic research ethics standards

Enhanced Research Efficiency and Data Security

Automated data collection will reduce manual administrative efforts by 70% while integrated analytics capabilities will enable real-time monitoring of athlete well-being. The secure platform will ensure compliance with data protection regulations while improving research accuracy through standardized digital data capture.

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