Open science is one of the major ways to combat the "reproducibility crisis" plaguing
many areas of research, from biomedical research to psychology and data science.
Despite growing interest and increasing mandates to make research outputs openly
available and to facilitate collaboration through open data and research tools, barriers
exist that prevent the broader adoption of open science. Lack of incentives, metrics,
and an open culture persist as main roadblocks to the adoption of open science
practices. Universities' libraries are playing increasingly important roles in open
science adoption by providing training, resources, and expertise. However, one of the
challenges many libraries face is the ability to connect and collaborate with the
research community. Facing this challenge, three liaison librarians at Carnegie Mellon
University (CMU) teamed up with faculty in Biological Sciences, thanks to the
embedded liaison model at CMU. Together, we obtained a joint grant from the DSF
Charitable Foundation (through the Mellon College of Science) to host a
transdisciplinary Open Science Symposium on Oct 18-19, 2018. Comprised of a series of
presentations, panel discussion, hands-on workshops and a "scientific speed dating"
event, this symposium stimulated discussions about opportunities and challenges in
open science practices, accelerated the adoption of open research tools, and built
community and collaborations in life sciences and related disciplines. We expected
this event to be well-attended and highly interactive. In the first two weeks after the
registration opened, an impressive response was received from CMU and nearby
universities, with more than 75% or registrations being graduate students,
postdoctoral researchers, and faculty. As deliverables of the symposium, we will
publish a conference report summarizing discussions at the symposium, make a set of
recommendations for advancing open science at CMU, and make plans to host a
future event to reach a broader set of disciplines.
This conference report was presented at the Coalition of Networked Information (CNI) Fall meeting, Washington DC, 10 December 2018.