"Open science" encompasses efforts on the part of scientists to improve reproducibility of original research. This includes publishing data sets, providing free and open access to resulting publications, and releasing code under open source licenses. Proprietary software and closely guarded datasets have given way to vibrant open source communities and open access journals. Applications in big data, however, have been uniquely challenging to incorporate into open science. These complications include datasets too large to host publicly, extensive codebases in highly…

This workshop serves as an introduction to the nonprofit scholarly network Humanities Commons and its open-access repository, CORE. Learn how to gain more readers while increasing the impact of your work, make interdisciplinary connections, build class blogs and collaborative Web sites, find and reuse openly available research materials, and craft a professional online presence. Sign up in advance (not required) at scholcomm.mla.hcommons.org/mla18/.