We present the results of an exploratory study of data quality within a health centre (HC) in rural Indonesia. This study is carried out via two channels, first, assessing data quality using two well-known sets of qualitative data quality measures and second via content analysis of interview transcripts using Leximancer. Data is collected via semi-structured interviews based on the AIMQ and PRISM methods. PRISM has been used in a number of comparable studies in developing countries. A number of themes are identified. We document the challenges faced by the front line staff as a result of data quality issues and provide a snapshot of the state of play in a typical rural health faclity in Indonesia. Suggestions are put forward for development action both locally and nationally.