Dear AMP-AD maintainers, We are preparing a manuscript for submission to the Journal of Statistical Software (https://www.jstatsoft.org/). The manuscript describes our solver for ordinal regression problems (https://github.com/labsyspharm/ordinalRidge). We would like to show its application to real data, and predicting Braak stage from RNAseq expression seems like a fantastic setting to evaluate an ordinal regression solver. The journal requires that "All figures, tables, and other output presented in the manuscript must be fully and exactly reproducible on at least one platform. [...] Typically, reproducibility is demonstrated by a standalone replication script." We can compose a script that automatically pulls relevant data from Synapse to generate the manuscript figures, but unfortunately a reviewer would not be able to execute this script unless they had signed the corresponding data usage agreements. One possible workaround may be to scramble gene and sample identities (e.g., shuffle rows and label them as Gene1, Gene2, etc., followed by a similar operation for the columns). Such a scrambled matrix would not be useful for any biological discovery, but it would preserve the overall statistical properties of the dataset. Since our manuscript is focused on software and not biology, the scrambled matrix would be enough to demonstrate the needed functionality. My question is whether releasing such a scrambled matrix alongside a script to reproduce the manuscript figures would violate the data usage agreements? We will of course cite the original source of the data with all relevant acknowledgments. If releasing a scrambled matrix would be a violation of the DUA, do you have any suggestions for how we can leverage AMP-AD data in a way that allows for complete reproducibility with an automated script, when the script is executed by somebody who may not have access to the data (such as a reviewer)? Please let me know if you need any additional details, -Artem