51. Ten simple rules for organizations to support research data sharing.
- Author
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Champieux, Robin, Solomonides, Anthony, Conte, Marisa, Rojevsky, Svetlana, Phuong, Jimmy, Dorr, David A., Zampino, Elizabeth, Wilcox, Adam, Carson, Matthew B., and Holmes, Kristi
- Subjects
CAPABILITY maturity model ,INFORMATION sharing ,CHIEF information officers ,ORGANIZATIONAL research ,INFORMATION technology ,CAREER development - Abstract
"Research Data Sharing: A Maturity Model for Organizational Capacity" can also serve as a tool to guide a gap analysis, helping organizations identify specific resource investments and interventions to increase their data sharing performance. Rule 1: Use a maturity model to understand organizational qualities that impact data sharing Organizations need to understand their baseline capabilities for data sharing, and a maturity model can facilitate this assessment. We consider an institution's organizational culture about data sharing to encompass how leaders and researchers generally interpret data sharing, how its reward systems express these attitudes, and how it treats decisions for engaging with new data sharing opportunities and best practices. [Extracted from the article]
- Published
- 2023
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