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).
Planning Research
- Design a 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
(Content from the UK Research Data Lifecycle.)
