<p>Ambiguous, incomplete, conflicting, and otherwise uncertain data is difficult to use safely, often requiring days or even weeks of careful study to understand the uncertainty's implication on downstream analyses. Exploration, and re-use of uncertain data pose a particularly significant challenge, as it becomes easy to lose track of assumptions made during one phase of a data science project. The ODIn lab is exploring how uncertainty in data can be precisely modeled without impeding a researcher's ability to explore or analyze their data.</p>