This document summarizes an agenda for an implementation science workshop on ensuring high quality data. It discusses definitions of data quality, aspects of quality assurance like prevention and correction of errors, and considerations for quality management including quality planning, control, and improvement. Specific topics covered include data collection options, database design, training, quality control tools, using existing data sources, and exporting data for further analysis. The overall goal is to provide guidance on processes and technologies for conforming to data requirements and acceptance criteria.