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.