For scientists to take full advantage of complex computing resources and new approaches to data analytics, they need to know how to think critically, work together, and problem solve in this quickly changing landscape. Scientists often do not receive formal training in these contexts though and must teach themselves and each other how to leverage unfamiliar methods and tools.
I believe libraries have the potential to play a critical role in this context by building collections and developing resources and programs that facilitate computational literacy; librarians need to engage in continuous, active dialog with their communities to do this. To this end my team is working with the astronomy community at large to develop resources that help lower technical and social barriers that impact their ability to do and share their research. We are expanding our collections and sponsoring training and professional development events in support of these goals. I also periodically lecture on relevant computational topics to promote literacy in data analytics in particular.