Automation of Information Quality Evaluation in eHealth Records from a Preservation Perspective

In the face of large data volumes, automation of maintenance chores is an important step in adapting to these volumes. Automation of transformations (such as migration steps) calls for automated surveillance as well - where surveillance could be implemented as quality assessments of transformations. This paper discusses automated assessment of information quality from a preservation perspective. The assessment is facilitated by use of a domain-specific language that enables declarative specifications of quality requirements. The research utilizes an Action Design Research approach to iterate development of both software and in-depth understanding of the context in which the software should operate. At the time of writing we have been able to demonstrate evaluation of DICOM packages ingested into the ENSURE preservation system, using automated extraction and comparison of certain quality parameters. We describe research in progress.