When working on a DHIS2 project or program that involves data collection, it is important that the data collected is useful and fulfils its need.
Data quality is the degree to which data for planning and decision making fulfils its requirements. Data quality refers to the usefulness, accuracy, and correctness of data for its application.
Data quality and data use are dependent on each other, so it is paramount that data quality is addressed in order to ensure proper use of data. For data to be beneficial, it needs to be of high quality. The better your data’s quality, the more you can get out of it. Low-quality information may have adverse repercussions. When decisions are based on bad data, the likelihood of making the wrong choices increases.
Read more to find out how to address data quality in DHIS2 programs.