When working on a research project, take steps to ensure that your data is safe, authentic, and available.
In addition, take steps to ensure that your data is usable.
To be useful to yourself, other researchers, or biostatisticians, data sets should:
- facilitate clear and unambiguous communication
- be useable by current software applications
- provide traceability between analysis data and its source data
- be linked to machine-readable metadata
- be analysis-ready
Analysis Data Model (ADaM)
Clinical Data Interchange Standards Consortium (CDISC)