![](data:image/png;base64,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)
Data management includes managing your data while you are working on your project (planning research, collecting data, processing and analyzing data) as well as making decisions for long-term management (publishing and sharing data, preserving data, reusing data).
From the UK Research Data Lifecycle
Planning research
- Designa research plan
- Plan data management
- Plan consent for sharing
- Planing data collecting, processing protocols and templates
- Explore existing data sources
Collecting data
- Collect and generate data
- Capture and record data with metadata
- Organize data
- Describe data
- Acquire existing third party data
- Maintaining data
Processing and analyzing data
- Enter, digitize, transcribe, and translate data
- Check, validate, clean, and anonmyze data
- Derive data
- Describe and document data
- Manage and store data
- Analyze and interpret data
- Produce research outputs
- Cite data sources
Publishing and sharing data
- Establish copyright
- Create use documentation
- Create discovery metadata
- Select appropriate access to data
- Publish/share data
- Promote data
Preserving data
- Migrate data to best format/media
- Store and back up data
- Create preservation documentation
- Preserve and curate data
Reusing data
- Conduct secondary analysis
- Undertake follow-up research
- Scrutinize findings
- Use data for teaching and learning