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What do examining bee behavior, classifying digital document types, analyzing road segmentation for self-driving cars, and decoding language in the brain from MRI scans all have in common? They all require large amounts of data that is well documented and reusable. Fostering this type of research and data curation is one goal of the growing Open Science movement and of the Carnegie Mellon University Libraries’ Open Science Program. 

Every year around Valentine’s Day, universities and libraries around the world participate in Love Data Week, an effort to raise awareness related to managing, sharing, preserving, and reusing research data. Carnegie Mellon Libraries is no exception. This year, you’ll be able to find us tabling at the libraries on campus all week, with cookies, candies, giveaways, and data valentines to get students and researchers thinking about the importance of loving and caring for their research data.

Science research output has historically been difficult to access and reuse. It is often published in journals with very expensive subscription costs, typically paid for by university libraries. The data and code used to generate figures in publications are commonly not shared or are only shared by request.  These practices have made it difficult for scientists to access, reuse, and reproduce the work of others, and have in part led to a widely reported "reproducibility crisis" in science.  A related concern is that the public, which pays for a lot of science research with tax dollars, cannot access much of it.