Get the free University Data Classification Table pk 7113 - security harvard

University Data Classification Table* Level 5 Information that would cause severe harm to individuals or the University if disclosed. Level 5 information includes individually identifiable information

How to fill out university data classification table

How to fill out a university data classification table:

1. Start by gathering all the necessary data: Collect all relevant information about the university's data, including the types of data, sources, and potential risks associated with each category.
2. Identify the data categories: Divide the data into different categories based on their level of sensitivity, importance, and legal/regulatory requirements. Common categories may include personal information, financial data, research data, and proprietary information.
3. Assign classification levels: Determine the classification levels for each data category. This can be done based on the sensitivity of the data, such as low, medium, or high classification levels. It helps to define clear criteria for each level to ensure consistency.
4. Define access controls: Determine who should have access to each data category based on its classification level. This may include specifying roles, departments, or individuals who are authorized to handle certain types of data.
5. Document data handling procedures: Develop clear guidelines and procedures for handling and storing each data category. This should include protocols for data collection, storage, sharing, and disposal, while adhering to data protection and privacy regulations.
6. Implement security measures: Identify and implement appropriate security measures to protect each data category according to its classification level. This may involve using encryption, access controls, firewalls, and other security technologies.
7. Review and update regularly: Data classification is not a one-time task. Regularly review and update the data classification table to reflect any changes in data types, risks, or regulations. This ensures that data is consistently protected and managed effectively.

Who needs a university data classification table?

1. University administrators: University administrators are responsible for overall data governance and security. A data classification table helps them understand the type and sensitivity of the data they are managing, and make informed decisions on data handling and protection.
2. IT departments: IT departments play a crucial role in implementing data security measures. A data classification table helps them prioritize resources and design appropriate security controls, based on the sensitivity and classification of the university's data.
3. Faculty and researchers: Faculty members and researchers deal with various types of sensitive data, such as student records, research data, or intellectual property. A data classification table helps them understand the importance of protecting different types of data and enables them to handle it with care.
4. Student services and admissions: Departments responsible for student services or admissions may collect and store personal information of students. A data classification table helps them identify the level of protection required for student data and ensure compliance with privacy regulations.
5. Legal and compliance teams: Legal and compliance teams need to understand the classification of data to ensure that the university is compliant with relevant laws and regulations, such as GDPR or HIPAA. A data classification table helps them identify potential legal risks associated with each data category.

By implementing a university data classification table and involving relevant stakeholders, the university can ensure that data is properly protected, managed, and shared, and reduce the risk of data breaches or non-compliance.

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