Data Management

The integrity of research data and the usefulness of the research it supports depends 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.

Additional Resources

Grand Valley State University

American Statistical Association Ethical Guidelines for Statistical Practice

Department of Health and Human Services

National Academy of Engineering Online Ethics Center for Engineering and Research

United States Patent and Trademark Office

United States Copyright Office

 

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Page last modified March 10, 2014