Data Management Lifecycle Model


Alex Ball has self-archived Review of Data Management Lifecycle Models in the University of Bath institutional repository.

Here's an excerpt:

The importance of lifecycle models is that they provide a structure for considering the many operations that will need to be performed on a data record throughout its life. Many curatorial actions can be made considerably easier if they have been prepared for in advance - even at or before the point of record creation. For example, a repository can be more certain of the preservation actions it can perform if the rights and licensing status of the data has already been clarified, and researchers are more likely to be able to detail the methodologies and workflows they used if they record them at the time.

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