Abstract
Among the top challenges of reproducible computational science are: (1) creation, curation, usage and publication of research software; (2) acceptance, adoption and standardization of open-science practices; (3) misalignment with academic incentive structures and institutional processes for career progression. I will address here mainly the first two, proposing a praxis of reproducible computational science.