2.1 Data Lifecycle & Management Plan

A Data Management Plan is a document that describes how you will conduct the Data Lifecycle for your project. This would include:

• Collecting 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
• 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