Details

Autor(en) / Beteiligte

• Champieux, Robin
• Solomonides, Anthony
• Conte, Marisa
• Rojevsky, Svetlana
• Phuong, Jimmy
• Dorr, David A
• Zampino, Elizabeth
• Wilcox, Adam
• Carson, Matthew B
• Holmes, Kristi
• Schwartz, Russell

Titel

Ten simple rules for organizations to support research data sharing

Ist Teil von

• PLoS computational biology, 2023-06, Vol.19 (6), p.e1011136-e1011136

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• Organizations that intentionally invest in research data sharing are better prepared to comply with the evolving policy landscape. [...]an institution’s data sharing capacity is both an influencer and an indicator of scientific success. While this paper has been written for organizations, it is intended to reflect the experiences and needs of local research communities. [...]for several Rules, we have included key questions research workforce members may ask, which organizations should be prepared to answer with actionable information. [...]any organization can identify itself in a model and grade its current capabilities in each domain. “Research Data Sharing: A Maturity Model for Organizational Capacity” (Fig 1) describes 7 interdependent domains: governance, process and procedures, organizational culture, infrastructure, workforce development, data quality and reuse, and data ethics practices [4].