A Taxonomy of Privacy is a model developed by Daniel J. Solove; it attempts to order various harms that arise from privacy infringements. The model focuses on critical challenges to privacy, and the challenges discussed in the model can help government ministers and officials involved in the planning of the GPDPR system. Some of the critical challenges in the model are explained below.
- Intrusion upon the plaintiff’s seclusion -refers to when a person internationally intrudes physically or through electronic surveillance upon the privacy. This will help government ministers and officials to develop bugging laws that will punish such instances.
- Publicly disclosing embarrassing private facts about the plaintiff- This is an instance that occurs when personal information about a participant is disclosed publicly, especially on a blog. Since the case study deals with medical cases, some disclosures can embarrass the participants. The subjects can be influenced to opt out and prevent others from joining. Therefore, this challenge is crucial to government ministers and officials because it will help them develop mechanisms restricting disclosure.
- Publicity which places the plaintiff in a false light in the public eye- This is akin to defamation because it makes others believe something about a participant that is false. If the false light is detrimental, it is foreseeable that the subject will suffer an injury to reputation and possibly mental distress and other harm. This will also be crucial to ensure no false information is published concerning the subject.
I agree with ministers that data save a life because the data collected will show the most common disease among U.K. citizens. Further on, after discovering the condition, it will help the government plan how it will minimize the disease. The data will also reveal the emerging diseases among U.K. citizens. The government can plan for appropriate measures, such as introducing vaccines to suppress the disease.
Data also shows some neglected diseases that seem to kill people without the government noticing. Generally, data save a life because it reveals the number of people affected by a particular disease. This helps the government know the budget that needs to be allocated to health care to save its people.