The Journal of Digital Imaging recently published a pair of papers co-authored by Daniel Marcus describing best practices for managing infrastructure for imaging-based research.
Part 1: General Workflow Considerations was published online in May, and works through the logistical and process side of organizing an imaging research workflow. This paper essentially functions as a primer for a PI and study coordinator as they begin their research initiative.
Part 2: Data Management Practices was published online in June, and follows up by exploring the technical and IT challenges related to managing imaging research data.
Both papers result directly from lessons learned while managing studies on the CNDA here at Washington University School of Medicine, and continuing development on the XNAT software platform to meet the needs of those studies.