Data Quality
More signal, less noise

Every project that we develop includes a number of approaches to help citizen scientists submit high quality data. Participants must successfully complete tutorials and quizzes before being granted access to your dataset. Educational materials provide a 'big picture' overview so participants know what they're contributing to and how their submissions will be used. Automated bots scour the database looking for suspicious activity. Workflows are structured to emphasize the value of quality observations over quantity.

More than that, our goal is to provide you with quality you can quantify: public submissions can be weighted according to a variety of baseline metrics, so you can incorporate statistical confidence into your post-processing activities.