The database offers a test set of images for scholars who are working on the development of image manipulation detection algorithms
or image analysis tools to facilitate an automated screening of images in publications.
For each image case there will be a full package of associated data that allows a better understanding of the complexity of such cases,
such as links to RetractionWatch or PubPeer, links to the original article or to retraction notices, information about the authors and teams, the journals and the academic fields, and more.
Often evaluating image manipulation requires a broad investigation that goes beyond a computational analysis of pixels in an image and involves an investigation into individual routines and practices, workflows and standards and community guidelines, as well as an evaluation of the larger ecology in which such cases occur. The database provides all available data to facilitate a more thorough understanding of the phenomenon.