Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote Research Data Sharing
Abstract
<jats:p>A range of regulatory pressures emanating from funding agencies and scholarly
journals increasingly encourage researchers to engage in formal data sharing practices.
As academic libraries continue to refine their role in supporting researchers in this
data sharing space, one particular challenge has been finding new ways to meaningfully
engage with campus researchers. Libraries help shape norms and encourage data sharing
through education and training, and there has been significant growth in the services
these institutions are able to provide and the ways in which library staff are able
to collaborate and communicate with researchers. Evidence also suggests that within
disciplines, normative pressures and expectations around professional conduct have
a significant impact on data sharing behaviors (Kim and Adler 2015; Sigit Sayogo and
Pardo 2013; Zenk-Moltgen et al. 2018). Duke University Libraries' Research Data Management
program has recently centered part of its outreach strategy on leveraging peer networks
and social modeling to encourage and normalize robust data sharing practices among
campus researchers. The program has hosted two panel discussions on issues related
to data management—specifically, data sharing and research reproducibility. This paper
reflects on some lessons learned from these outreach efforts and outlines next steps.</jats:p>
Type
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https://hdl.handle.net/10161/24997Published Version (Please cite this version)
10.7191/jeslib.2021.1193Publication Info
Downey, Moira; Lafferty-Hess, Sophia; Charbonneau, Patrick; & Zoss, Angela (n.d.). Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote
Research Data Sharing. Journal of eScience Librarianship, 10(2). 10.7191/jeslib.2021.1193. Retrieved from https://hdl.handle.net/10161/24997.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Patrick Charbonneau
Professor of Chemistry
Professor Charbonneau studies soft matter. His work combines theory and simulation
to understand the glass problem, protein crystallization, microphase formation, and colloidal
assembly in external fields.
Sophia Lafferty-Hess
Analyst, IT, Sr
Sophia works as a Research Data Management Consultant in Duke University Libraries
Center for Data and Visualization Sciences. Sophia consults and teaches on core data
management and sharing concepts and is part of the curation team that supports the
Duke Research Data Repository. Sophia's research interests include data curation and
publication in the scholarly landscape, open science, repository management, the role
of journals in supporting data sharing, and the implementation of reproducible
Angela Zoss
Prof Library Staff
Assessment & Data Visualization Analyst
Angela works as the Assessment & Data Visualization Analyst in the Assessment & User
Experience department at Duke University Libraries. Prior to May 2018, she worked
as the Data Visualization Coordinator for Data and Visualization Services. Since 2012,
she has created many library workshops and short courses on visualization; consulted
with students, researchers, and faculty members on research projects; and helped
Alphabetical list of authors with Scholars@Duke profiles.

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