The heart of DQRI is projects. These projects will produce the body of knowledge about clinical data quality. Project topics run the spectrum from highly theoretical examinations of data quality nomenclature to extremely practical exercises in determining best practices, and from designing methodologies to studying their implementation. Projects will also include surveys of existing methodologies both within and outside of clinical research, with the intent of including them in the body of knowledge, either as they exist or with recommendations for applying them to clinical research data.

Projects can be sponsored and funded by DQRI, or by DQRI in partnership with other individuals or organizations. A variety of models for collaboration can be used, and each project can be handled in the manner best suited to it. For further information on proposing, sponsoring or participating in a project, please browse this site, and contact Kaye Fendt or Kit Howard.

To propose a project, please visit the project proposal page.

Please see below for a list of projects

Completed Projects

• Chapter on applying risk models for book Continuous Quality Improvement in Health Care, Curtis McLaughlin, DBA, Arnold Kaluzny, PhD; Jones & Barlett Publishers

Current Projects

• Risk Factors in Clinical Trials Software Development
• A Critical Examination of Database Auditing

Proposed Projects

• Detecting Fraud In Your Data
• Using Statistics To Reduce Work Effort In Data Cleanup
• The Nomenclature of Clinical Data Quality
• Data Quality Assessment in Pediatric Process Improvement Projects
• Data Quality in Patient Registries