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As stated in the "Manifesto for Reproducible Science," the overarching goal of the research transparency movement is to improve "the reliability and efficiency of scientific research" and "increase the credibility of the published scientific literature and accelerate discovery" (Munafò et al, 2017). Given the critical role that curated and shared data plays in conducting reproducible science, not to mention the training and advocacy that data professionals provide, it is clear that there isdoi:10.5281/zenodo.3775754 fatcat:qawn3frzmjhsxmddxkxeihlce4