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Data sharing is central to open science. When you share your data, you show your support for the future of science — for science—for its openness, its reproducibility, and its longevity. Responsible and open data sharing allows you to demonstrate the rigor and reliability of your work to others, and by doing so, you invite them to review, reproduce, and reuse your materials, potentially advancing new discoveries. For biomedical data, data sharing can lead to new treatments, therapies, and even cures, improving patient outcomes. Data sharing also contributes to the public good: it can build trust in science, and increase access to scientific knowledge.
Beyond philosophical reasons, data sharing is also required by many funding organizations, including the U.S. National Institutes of Health (NIH), and many other governing bodies, foundations, and journal publications.
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