Data Life Cycle
Creating data
- design research
- plan data management (formats, storage etc.)
- plan consent for sharing
- locate existing data
- collect data (experiment, observe, measure, simulate)
- capture and create metadata
Processing data
- enter data, digitize, transcribe, translate
- check, validate, clean data
- anonymize data where necessary
- describe data
- manage and store data
Analyzing data
- interpret data
- derive data
- produce research outputs
- author publications
- prepare data for preservation
Preserving data
- migrate data to best format
- migrate data to suitable medium
- back-up and store data
- create metadata and documentation
- archive data
Giving access to data
- distribute data
- share data
- control access
- establish copyright
- promote data
Re-using data
- follow-up research
- new research
- undertake research reviews
- scrutinize findings
- teach and learn
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