The peer-reviewed journal serves as a forum for writers of data analysis case studies from any environment where statistical analysis is used. As such the journal both fosters a better communication between these different environments and helps improve statistical training overall.
In particular, CSBIGS encourages consultants to submit their work. In this manner, the commissioning party will receive peer reviewed research, ensuring that the quality of the statistical work commissioned is of the latest international scientific standard. If the commissioning party so wishes, the research published can be rewritten by authors to preserve the privacy and anonymity of the commissioning party. To ensure confidentiality, the Editorial board will sign a non disclosure statement if requested (in cases where the true identity of the commissioning party is known to the Editorial Board).
The journal seeks to achieve a balance between originality and accessibility in its case studies. In order to facilitate usability, each article identifies its intended audience and makes available to readers in electronic form a data set - which can be a subset of that used in the case study, masked if necessary for confidentiality - to be used to apply the methods presented in the article. The case studies also gives sufficient instructions about the software needed for readers to run the analyses.