Data Management

Overview

  • Comprehensive plan for managing research data throughout its lifecycle.

Key Components

  • Data Collection
    • Methods and tools for data collection.
  • Data Storage
    • Secure and scalable storage solutions.
  • Data Backup
    • Regular backups to prevent data loss.
  • Data Archiving
    • Long-term preservation of data in trusted repositories.
  • Data Sharing
    • Policies and platforms for sharing data with the broader community.
  • Data Retention
    • Guidelines for retaining or disposing of data after project completion.