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.

  1. Creating data
  2. Processing data
  3. Analysing data
  4. Preserving data
  5. Giving access to data
  6. 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

A QUICK GUIDE TO THE ARCHIVE