COCOPREND: COde of COnduct for PREclinical Neuroimaging Data

COCOPREND compiles and distills resources to facilitate responsible and ethical use, sharing and management of preclinical (animal) neuroimaging data. This data code of conduct is elaborated by the Center for Reproducible Science (CRS) of the University of Zurich. This website is meant to be a living document that is regularly edited and updated by the community.

This upload contains the first release of the Git repository (link) with the source files in Markdown. The file *_website_files.zip contains all website files (HTML and PDF files). 

Consulting partners: 

• Prof. Dr. Vartan Kurtcuoglu, Head of The Interface Group , Institute of Physiology, University of Zurich
• Prof. Dr. Benjammin Ineichen. Head of STRIDE lab, University of Zurich (UZH) and  Medical Data Science at the University of Bern
• Dr. Paulin Jirkof, 3R Coordinator at the University of Zurich (UZH) and UZH representative at  Swiss 3RCC