Research data management and sharing plan

Create comprehensive data management plan for research lifecycle. Data collection: 1. File naming conventions (YYYYMMDD_projectname_version). 2. Data formats: use open, non-proprietary formats (CSV, TXT) when possible. 3. Version control: track changes with clear versioning system. 4. Backup strategy: 3-2-1 rule (3 copies, 2 different media, 1 offsite). Storage and security: 1. Institutional servers or cloud services (Box, OneDrive) with encryption. 2. Access controls: role-based permissions, VPN access. 3. De-identification: remove direct identifiers, consider re-identification risk. Data sharing: 1. Repository selection: discipline-specific (PubMed Central) or general (Zenodo, Figshare). 2. Metadata: use Dublin Core or discipline standards. 3. Embargo periods: typically 12 months post-publication. 4. License: Creative Commons licenses for open access. Retention: follow institutional and funder requirements (typically 5-10 years post-publication).