One of the biggest challenges facing biomedical research today is the lack of reproducibility in findings. In response, a growing body of literature has emerged to address this. However, much of this focuses on bias and methods, while little addresses the issue of information quality. The purpose of this poster is to determine the role of information quality for retracted bioinformatics literature.