To increase transparency of science and visibility of your work, I encourage you to consider sharing your materials, data, and analysis code with the community (e.g., on Open Science Framework). See http://doi.org/10.1525/collabra.158 for thorough guidelines. Note that papers, in case of which data was shared, seem to have some citation advantage https://doi.org/10.1371/journal.pone.0230416. At the same time, the empirical evidence shows, that declaring that sharing data “upon a (reasonable) request” is not a sustainable way for the science to go forward (www.pnas.org/cgi/doi/10.1073/pnas.1708290115).

If you cannot share the data due to confidentially issues, you might wish to consider sharing a synthetic dataset https://elifesciences.org/articles/53275. Furthermore, you still can share your materials and code. Please note that this is just a suggestion, and I do not condition my recommendation on whether you do it. For your obligations in that context please consult journal’s editorial policy.