Accurate, comprehensive data is needed in any automated medical equipment management system. Data quality initiatives can help to insure the accuracy of clinical/biomedical engineering data. The data needed to establish basic, accurate, maintainable automated records for medical equipment management includes: nomenclature, manufacturer, nameplate model, serial number, acquisition cost, condition code, and maintenance assessment. Other useful data could include: warranty, location, other contractor agencies, scheduled maintenance due dates, and intervals.