CREATE & MANAGE DATA
RESEARCH DATA LIFECYCLE
Data often have a longer lifespan than the research project that creates them. Researchers may continue to work on data after funding has ceased, follow-up projects may analyse or add to the data, and data may be re-used by other researchers.
Well organised, well documented, preserved and shared data are invaluable to advance scientific inquiry and to increase opportunities for learning and innovation.
- Creating data
- Processing data
- Analysing data
- Preserving data
- Giving access to data
- Re-using data
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, digitise, transcribe, translate
- check, validate, clean data
- anonymise data where necessary
- describe data
- manage and store data
Analysing 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
- scrutinise findings
- teach and learn