Case Study Profile Targeted Structured Form Provided

Case Study Profile Targeta Structured Form Has Been Provided On Th

A structured form has been provided on the next few pages for the most commonly gathered information. Anything not fitting into one of the provided categories should be entered in the section titled, Other Data. Please note the tool you used to find each piece of information. A few fields that are “sensitive” in nature are tagged to only be a yes or no as to whether you were able to locate that information only; do not provide those pieces of data in your submission. Tool Examples include Google Search Engine, Google Scholar, Google Maps, Facebook, Facebook Graph, Classmates.com, Ancestry.com, Realtor.com, City/County/State governmental databases, Spokeo.com, Intelius, Twitter, Instagram, IMDB, PeopleFinder, USA People Search, InstantCheckmate.com, and many other websites and tools.

The form includes the following data categories:

  • Age
  • Date of Birth (Yes or No Only; specify tool)
  • Gender
  • Marital Status (specify tool)
  • Political Affiliation (specify tool)
  • Religion (Yes or No Only; specify tool)
  • Spouse(s) (specify tool)
  • Mother (specify tool)
  • Father (specify tool)
  • Sibling(s) (specify tool)
  • Children (specify tool)
  • Other Relatives (specify tool)
  • Current Address(s) (specify tool)
  • Previous Addresses (specify tool)
  • Employment History (including military/government work; specify tool)
  • Language(s) (specify tool)
  • Education (all levels; specify tool)
  • Criminal/Legal History (specify tool)
  • Photos (specify tool)
  • Favorite(s) (color, movie, etc.; specify tool)
  • Medical History (Yes or No Only; specify tool)
  • Financials (Yes or No Only; specify tool)
  • Email Address(s) (specify tool)
  • Phone Number(s) (specify tool)
  • Conferences, Symposia, or Other Public Speaking Events (specify tool)
  • Certifications (specify tool)
  • Published Works (specify tool)
  • Social Media Profiles (specify tool)
  • Any News References (specify tool)
  • Any Scandals (specify tool)
  • Member of Organization(s) (specify tool)
  • Security Clearances (Yes or No Only; specify tool)
  • Other 1-5 (specify tool for each)

Paper For Above instruction

In the modern era of information technology and digital data aggregation, collecting and analyzing personal data has become a significant practice across various domains, including security, marketing, and social research. The structured data collection form provided exemplifies a comprehensive approach to gathering personal, social, and professional information about individuals, emphasizing both common and sensitive data points. Understanding the importance, ethics, methods, and implications of such data collection is essential in appreciating its role within societal and organizational contexts.

The form is designed to facilitate systematic collection of demographic, contact, social, legal, and personal information. It covers basic identifiers such as age, date of birth, gender, and marital status, along with political, religious, and familial data. These correspond to fundamental demographic characteristics that often underpin targeted analyses or assessments. For instance, age and gender are pivotal in sociological and health-related studies, whereas marital status and family relations can be crucial for genealogical or legal investigations.

The emphasis on tools used to find each piece of information highlights the importance of transparency and methodological documentation in data collection. Credible sources like Google, social media platforms, governmental databases, and specialized online services provide varying degrees of public accessibility to personal data. Selecting appropriate sources ensures data accuracy, reliability, and compliance with privacy regulations. For example, employment history or addresses may be verified through official government or corporate records, while social media profiles often reveal current interests and affiliations.

Moreover, the form includes fields for sensitive information such as medical history, financial data, criminal/legal history, security clearances, and scandals. Restricting these to a simple yes or no response regarding whether such data could be located underscores ethical considerations - notably, the importance of respecting privacy and avoiding the dissemination of highly sensitive information without consent. These fields are critical in contexts like security screening, background checks, or legal investigations, where the presence of such issues impacts decision-making.

Collecting data on social media profiles, published works, conference appearances, and member organizations indicates an interest in understanding an individual’s online presence and professional reputation. Such data can be utilized for reputation management, character assessment, or influence analysis. The inclusion of multiple address and contact points reflects an intent to construct comprehensive contact and mobility histories, valuable in investigative or intelligence efforts.

However, this extensive data collection raises ethical and legal considerations. Privacy laws such as GDPR and CCPA impose strict limits on the collection, use, and sharing of personal data. Organizations must implement safeguards to ensure data privacy and protect individuals from misuse or harm. The explicit instruction not to provide sensitive data unless locatable by specific tools aligns with these principles, emphasizing verification and lawful practices.

In conclusion, the structured form signifies a meticulous approach to personal data collection, blending comprehensive data points with a conscious acknowledgment of privacy and ethical boundaries. Its applications range from security screening, research, and legal investigations to personalized marketing and social analysis. Responsible management of such data, adherence to legal standards, and respekt for individual privacy are paramount in leveraging this information ethically and effectively.

References

  • Anderson, C. (2020). The Social Media Data Revolution: Privacy, Ethics, and Legislation. Journal of Information Privacy & Security, 16(2), 45-60.
  • Gartner. (2022). Data Collection Methods for Personal Data in Digital Environments. Gartner Reports.
  • Greenwood, S., & Agarwal, R. (2018). Predictive Analytics in Online Social Networks: Ethical Implications. MIS Quarterly, 42(3), 791-810.
  • Kuner, C., Bygrave, L. A., & Docksey, C. (2021). The EU General Data Protection Regulation (GDPR): A Commentary. Oxford University Press.
  • O’Connor, M., & Karam, L. (2019). Investigative Techniques for Data Gathering in Digital Environments. Surveillance & Society, 17(1), 1-17.
  • Reidenberg, J. R. (2019). Data Privacy and Security in the Age of Digital Surveillance. Harvard Law Review, 133, 1746-1798.
  • Rainie, L., & Anderson, J. (2017). The Future of Privacy and Security in the Digital Age. Pew Research Center Reports.
  • Shapiro, S., & Markoff, J. (2018). Privacy and the Online Persona: Risks and Regulations. Communications of the ACM, 61(4), 24-26.
  • Solove, D. J. (2021). Understanding Privacy. Harvard University Press.
  • Westin, A. F. (2003). Social and Political Dimensions of Privacy. Journal of Social Issues, 59(2), 431-453.

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