Data Acquisition and Management, Sharing and Ownership
The integrity of research data and the usefulness of the research it supports depend on careful attention to detail, from initial planning through final publication. While different disciplines and types of research may differ in data management practices, there are generally accepted standards that the University community should be aware of and adhere to relative to data ownership, data collection, data protection and data sharing. Key considerations for data collection include using the appropriate method, providing attention to detail, obtaining the appropriate permissions for use of certain categories of data and the accurate and secure recording of data. Data should be maintained and secured in such a way as allow it to confirm research findings, establish priority, and be reanalyzed by other researchers. Data should be stored in such a way as to protect confidentiality, be secure from physical and electronic damage and destruction and be maintained for the appropriate time frame dictated by sponsor and University policies. Conditions imposed by sponsors, the University, and other sources may affect data acquisition, management, sharing and ownership.