The report of an Institute of Museum and Library Studies (IMLS) funded
project to look at data science in libraries is now available and can
be found at:

http://d-scholarship.pitt.edu/33891/

I have reproduced the abstract below.

Those at the Fall 2017 CNI meeting may recall that Chris Erdmann and
Bonnie Tijerina spoke about this work. See

https://www.cni.org/topics/digital-curation/data-science-in-libraries-findings-and-a-roadmap-forward

Clifford Lynch
Director, CNI

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The Data Science in Libraries Project is funded by the Institute for
Museum and Library Services (IMLS) and led by Matt Burton and Liz Lyon,
School of Computing & Information, University of Pittsburgh; Chris
Erdmann, North Carolina State University; and Bonnie Tijerina, Data &
Society. The project explores the challenges associated with
implementing data science within diverse library environments by
examining two specific perspectives framed as ‘the skills gap,’ i.e.
where librarians are perceived to lack the technical skills to be
effective in a data-rich research environment; and ‘the management
gap,’ i.e. the ability of library managers to understand and value the
benefits of in-house data science skills and to provide organizational
and managerial support.
This report primarily presents a synthesis of the discussions,
findings, and reflections from an international, two-day workshop held
in May 2017 in Pittsburgh, where community members participated in a
program with speakers, group discussions, and activities to drill down
into the challenges of successfully implementing data science in
libraries. Participants came from funding organizations, academic and
public libraries, nonprofits, and commercial organizations with most of
the discussions focusing on academic libraries and library schools.