CosmoQuest:Using Data Validation for More Than Just Data Validation

It is often taken for granted that different scientists completing the same task (e.g. mapping geologic features) will get the same results, and data validation is often skipped or under-utilized due to time and funding constraints. Robbins et. al (2014), however, demonstrated that this is a needed step, as large variation can exist even among collaborating team members completing straight-forward tasks like marking craters. Data Validation should be much more than a simple post-project verification of results. The CosmoQuest virtual research facility employs regular data-validation for a variety of benefits, including real-time user feedback, real-time tracking to observe user activity while it's happening, and using pre-solved data to analyze users' progress and to help them retain skills. Some creativity in this area can drastically improve project results. We discuss methods of validating data in citizen science projects and outline the variety of uses for validation, which, when used properly, improves the scientific output of the project and the user experience for the citizens doing the work. More than just a tool for scientists, validation can assist users in both learning and retaining important information and skills, improving the quality and quantity of data gathered. Real-time analysis of user data can give key information in the effectiveness of the project that a broad glance would miss, and properly presenting that analysis is vital. Training users to validate their own data, or the data of others, can significantly improve the accuracy of misinformed or novice users.