Research Data Life cycle

Research Life cycle Headings & Key Points.

1- Planning:

• Data management planning (DMPs)
• Data description and metadata extraction
• Data documentation
• Choice of repositories
• Choices of file formats
• Data re-use
• Funders requirements
• File naming
• Ethics and Research conduct
• Funding for RDM activities

2- Managing:

• Storage and backup & security
• Active Metadata collection
• Tools and software solutions
• Curation
• Versioning
• Provenance

3- Sharing

• Data access and Sharing rights
• Data privacy and GDPR compliance
• Data ownership, licensing
• Data Transfer
• GDPR

4- Preservation and Publication

• Citation
• PrePrint
• DOI
• Publishing requirements
• Long Term Storage
• Archival and Disposal policies