COCOPREND: Code of Conduct for Preclinical Neuroimaging Data 

Despite large volumes of data being generated in preclinical neuroimaging research, there is a lack of adequate support for processing them according to the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. This gap leads to inefficient data management and limited utility of the data that are made openly available. Thus, this project develops a conduct for open research data (ORD) specifically targeting researchers working with preclinical (animal) neuroimaging data. The target community involves researchers using various imaging techniques to study the central nervous system in animals.  While there are comprehensive guidelines for planning, conducting and reporting animal experiments, as well as for managing data of different imaging modalities, the landscape of these resources is fragmented. This project systematically compiles and distills these resources to facilitate adoption of FAIR ORD practices by researchers.