Executive Memos 16 and 42 spell out the Minimum Security Standards that apply to both institutional and research data. These Standards align with recognized national and governmental standards, and are regularly updated to address cybersecurity concerns as they develop. NU systems use these standards to ensure individual computers, storage systems, and networks have the security settings appropriate for the data within. By following these standards we demonstrate the importance of data security at our institution, and the care expected at a research intensive university.
Research data may be subject to additional compliance needs/settings due to contractual or regulatory requirements. In such cases, the applicable systems will need to have appropriate settings applied to remain in compliance. Due to these unique needs, the wide variety of research data produced at UNL, and how data risk may change over the course of the data life cycle, there is a data risk classification self-assessment specifically for research data. Using this tool during the planning stages of a project may help you budget for technology needs.
To assess risk related to AI use, answer the questions based on the information being uploaded into the AI program, as well as planned output. AI use may be research, scholarly activity, or neither. This tool is intended for research data - if you are unsure whether your planned use falls under the category of research data, please consult Executive Memo 42 for a definition. The Office of Research & Innovation has Guiding Principles and Best Practices for AI in Research and Creative Activities at UNL. Email researchdata@unl.edu if you need further advice.
Continue to the self-assessment tool