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The last 15 years have seen a marked growth of data management and sharing policies among federal agencies in the US and Canada. While these policies have an undeniable impact in terms of increased publicly available datasets, they have also impacted the research practices of funded researchers and the services and infrastructure provided by institutions. Researchers and institutions alike share the responsibility to align practices with funding agency requirements concerning data management and sharing, but each stakeholder group has responded in ways that may not align with one another. This presentation delves into research resulting from the National Science Foundation-funded Realities of Academic Data Sharing (RADS) Initiative and provides a comprehensive comparative analysis of services and infrastructure of six academic institutions, as well as an overview of the overall impact of these policies for researchers and institutions. Insights into services, infrastructure, and impact can lead to the creation of streamlined pathways for enhancing institutional efficiencies in data management and sharing.
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Engaging Researchers in Data Dialogues: Designing Collaborative Programming to Promote Research Data Sharing
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.
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- Award ID(s):
- 1749374
- PAR ID:
- 10217715
- Date Published:
- Journal Name:
- Journal of eScience Librarianship
- Volume:
- 10
- Issue:
- 2
- ISSN:
- 2161-3974
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.7191/jeslib.2021.1193
