Preserving the Intent behind

For instance, for Reagan Moore 1 , “The emergence of policy-based data management systems has made it possible to consider preservation as one of the stages of a data life cycle. Each stage represents a consensus by a user community on the purpose of the collection, the policies that will be used to control desired collection properties, the procedures that will enforce the policies, and the metadata or state information that is needed for a self-consistent system. Virtualization of the data life cycle corresponds to tracking the evolution of the policies, procedures, and state information and providing mechanisms for each new user community to re-purpose the collection. Long term sustainability then corresponds to repurposing of a collection for use within a new institution, and uses the same mechanisms that support evolution between data life cycle stages.” In this view each data life cycle stage re-purposes the original collection and stages correspond to addition of new policies for a broader community.