I am a physicist at the Department of Radiology, and I am interested in the application of data science methods in radiological and clinical research. By training, I am a magnetic resonance imaging physicist, with a focus on image post-processing and quantification of tissue perfusion. Recently, I have extended my technical portfolio towards automated image analysis and machine learning for classification and prognosis from medical images, such as computed tomography or magnetic resonance tomography. Open science and reproducible research in this field is highly relevant, especially with complicated image post-processing, deep learning or machine learning. While it is easy to share analyses and code, the sensitive nature of medical images and associated clinical data poses challenges with respect of public data sharing. I believe the Open Science Center provides the ideal framework to address these challenges.