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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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A model for calculating institutional costs for data management and sharing
Institutions have made significant investments to support public access to research data requirements; yet have little comparative data about these services, infrastructure, and costs. To address this need, the research team undertook a mixed-methods approach to understand the institution-wide expenses for research data management and sharing and began to draft an expense model for data management and sharing. This model is further useful for institutions that provide research data management and sharing.
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- Award ID(s):
- 2135874
- PAR ID:
- 10492878
- Publisher / Repository:
- IDCC
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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