  The advantages of data sharing across organizations and disciplines are
indisputable; although, sensitive and restricted data cannot be easily shared
due to policies and legal matters. The research presented in this paper takes a
step toward systematizing the sharing of sensitive and restricted research data
by developing an ontology to frame and guide DSUA (Data Sharing and Usage
Agreement) development. The paper provides background context, describes the
ontology creation process, and introduces the Data Sharing Agreements for
Restricted and Sensitive Information (DARSI) ontology. DARSI contains four top
level classes, 20 sub-classes, 33 sub-categories, and 17 simple properties for
categories applicable at various levels. The discussion provides further
insight into the work accomplished, and the conclusion identifies next steps.
