Sorry that your question slipped through. Prior choice usually requires domain-specific knowledge and can’t be answered purely on theoretical grounds. A good practical workflow are the prior predictive checks as described in the Visualisation paper. Alternatively, you can fit your model with multiple priors and report how your results change based on prior choice (both the family and the parameters).
Best of luck with your model!