Recoverability
The degree to which data has attributes that enable it to maintain and preserve a specified level of operations and quality, even in the event of failure, in a specific context of use.
ISO/IEC 5259
Additional Characteristics
Auditability
The degree to which all or part of a data set has been audited or the data are available for audit by relevant stakeholders.
Identifiability
The degree to which the deidentification processes applied to training, validation, testing and production data reduce the possibility of identifiability.
Effectiveness
The degree to which the dataset meets requirements for use in a specific ML task.
Balance
The degree to which the distribution of the samples for all aspects of the dataset is adequate.