Data Protection: Definition, Best Practices, and Importance in Government IT Systems

Data Protection: Definition, Best Practices, and Importance in Government IT Systems


What is Data Protection?

What is Data Protection? Is it a right? Are you looking forward to it? Discuss various definitions. Definitions and legal definitions of the “average person” and how these differences impact Data Protection risk assessments (or lack thereof). What are important Data Protection best practices regarding information collected, stored, used, and transmitted by the U.S. federal government? Improving the privacy of information processed by or stored on an organization’s IT systems and databases Identify and discuss three or more best practice recommendations to reduce risk by ensuring:

Explain why federal agencies and departments need to complete a PIA. Should all federal IT systems have Pia? Why or why not? I will list and briefly explain three benefits that citizens receive by using PIA. (Taking into account the privacy needs of the public and the protection of the Data Protection of the individuals whose information is collected, processed, transmitted and stored in his IT systems and databases of the Commonwealth.)

Data Protection is defined as the ability of groups or individuals to protect themselves from various categories of threats and risks. In most cases, sensitive data and assets will be blocked if you do not take the necessary steps to resolve privacy issues.

There are many privacy-related expectations, each of which can be very helpful in defining the scope of data protection law. Privacy expectations can be divided into subjective privacy expectations and objective privacy expectations (Merrick & Ryan, 2019). Subjective expectations refer to an individual’s opinion, while objective expectations refer to society’s expectations.

If we look at the average definition of privacy, we can say that it is one of the legal rights of an individual that helps to deal with issues such as unwanted publicity, and one of the most important fundamental human rights.

If we look at the legal definition of privacy, we can say that it is an individual’s right to die, and the term privacy changes depending on the legal context (Morgan, 2016). This is one of the most important policy decisions related to personal issues and is of great importance because of the interference caused by various regulations, state coercion, and threats.

A notable difference between these two definitions is that the average person definition is very helpful in addressing factors such as commitment and communication, whereas the legal definition is less helpful in addressing factors such as organizational structure. It means that it is important. Best practices for data protection in U.S.

Federal IT systems

The U.S. federal government’s best practices for addressing privacy issues related to sensitive information are the U.S. Privacy Act of 1974, HIPPA (Health Insurance Portability and Accountability Act), and COPPA (Children’s Online Privacy Protection Act). ) (Reuben et al., 2016).

Three different categories of best practices for mitigating information risk are discussed below.

Data Usage Policies: Policies are rules communicated to users of computer systems to protect their equipment, Internet access, and networks from privacy concerns.

Use of data encryption: The use of symmetric and asymmetric encryption is very helpful in reducing data security risks by social engineers.

Use RAID on your server: RAID disk drives are very useful in improving the performance of your data storage devices.

There are many different categories of data that flow into and out of both government agencies and their departments. At the same time, the success or failure of governments depends on protecting this data. All types of privacy issues regarding data can have a significant impact on the productivity of governments and national economies (Edemekong & Haydel, 2019). Therefore, a Privacy Impact Assessment (PIA) should be performed as it not only helps in addressing privacy issues but also very helpful in shaping business strategy, policies and business relationships with other supporting organizations that you manage.

All federal IT systems require a PIA. There are many data protection issues related to IT systems, such as computer viruses and Trojan horses. Each of these issues can be successfully resolved or alleviated with the help of PIA. There are three distinct benefits for citizens that result from the use of data protection impact assessments (PIAs):

Addressing privacy risks: There are different categories of computer systems used by the population, and each of these systems has privacy concerns (Alshammari & Simpson, 2018). Using PIA can be very helpful in solving these privacy issues from a security consultant’s perspective.

Governance Structure: There are many issues associated with the involvement of contractors in most government projects to meet consumer expectations. PIA involvement can be very helpful in maintaining good relationships with third-party contractors on government projects.

Control of personal data: Employees of commercial organizations also pose a threat to data security (Ahmadian et al., 2018). PIA integration is very useful for strategic planners in commercial business organizations to ensure the security of organizational and employee data. Any change in the business processes of a commercial organization can be supported with the help of PIA.


Ahmadian, A. S., Strüber, D., Riediger, V., & Jürjens, J. (2018, April). Supporting privacy impact assessment by model-based privacy analysis. In Proceedings of the 33rd Annual ACM Symposium on Applied Computing (pp. 1467-1474). ACM.

Alshammari, M., & Simpson, A. (2018, September). Towards an Effective Privacy Impact and Risk Assessment Methodology: Risk Assessment. In International Conference on Trust and Privacy in Digital Business (pp. 85-99). Springer, Cham.

Edemekong, P. F., & Haydel, M. J. (2019). Health Insurance Portability and Accountability Act (HIPAA). In StatPearls [Internet]. StatPearls Publishing.

Merrick, R., & Ryan, S. (2019). Data Privacy Governance In The Age Of Gdpr. Risk Management, 66(3), 38-43.

Morgan, M. (2016). Reconsidering the Legal Definition of Privacy. Brigham Young University Prelaw Review, 30(1), 8.

Reuben, J., Martucci, L. A., Fischer-Hübner, S., Packer, H. S., Hedbom, H., & Moreau, L. (2016, August). Privacy Impact Assessment Template for Provenance. In 2016 11th International Conference on Availability, Reliability and Security (ARES) (pp. 653-660). IEEE.

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