Risk Assessment for Scientific Data

• Published in: Data science journal Vol. 19; no. 1
• Main Authors: Mayernik, Matthew S, Breseman, Kelsey, Downs, Robert R, Duerr, Ruth, Garretson, Alexis, Hou, Chung-Yi (Sophie),
• Format: Journal Article
• Language: English
• Published: Ubiquity Press Ltd 12.03.2020; Ubiquity Press
• Subjects: data preservation; data stewardship; Metadata; Organizations; Resource allocation; Risk assessment

Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data...