Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote Research Data Sharing
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<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>
Published Version (Please cite this version)10.7191/jeslib.2021.1193
Publication InfoDowney, 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.
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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.
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
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
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