Reporting Standards for BNs

Welcome to the Reporting Standards for BNs questionnaire testing environment.

Our team has been developing a reporting guideline standard for Bayesian networks. Our aim is to ensure that models are correctly understood and replicable. Specifically, the aims of this effort are to support and facilitate:

• Reproducibility
• Transparency
• Systematic reviews and meta-analyses

We also expect a range of additional benefits, including education (particularly for those new to BN modelling), discoverability of models and techniques, reusability, quality and reliability, and promoting interdisciplinary collaboration.

One of the key outcomes of this work is a questionnaire, that can be accessed via this website, where users can provide details about their model and the processes used to develop and validate it.

This site is very much in testing! We would greatly appreciate any feedback you could provide. We may report feedback in publications in aggregate form, but your information will be kept confidential. There is the possibility that we may contact you to ask permission to publish individual quotes.

The website consists of four main sections:

• Model Information: High-level details about the model, such as title and authors.
• Structure: Qualitative aspects of the model.
• Parameters: Quantitative aspects of the model.
• Evaluation: Validation and verification of the model.