Data Privacy: Data privacy refers to the protection of personal data and ensuring that individuals have control over how their data is collected, used, and shared. This skill is measured in the test to assess the candidate's understanding of legal and regulatory requirements related to data privacy and their ability to implement measures to safeguard privacy.
Data Protection: Data protection involves implementing measures and processes to safeguard personal data from unauthorized access, use, or disclosure. Evaluating candidates on this skill helps recruiters determine their knowledge of data protection principles and their ability to implement effective data protection measures.
Data Security: Data security focuses on protecting data from unauthorized access, alteration, or destruction. Assessing this skill allows recruiters to gauge a candidate's understanding of cybersecurity practices and their ability to implement security measures to prevent data breaches.
Data Breach: A data breach refers to the unauthorized access, disclosure, or destruction of personal data. Including this skill in the test helps recruiters assess a candidate's knowledge of data breach response procedures, breach prevention strategies, and their understanding of the potential impact of data breaches on individuals and organizations.
Data Processing: Data processing involves collecting, organizing, and manipulating data to extract meaningful insights or to perform specific tasks. Measuring this skill helps recruiters assess a candidate's proficiency in data processing techniques, tools, and their ability to ensure compliance with data processing regulations.
Consent Management: Consent management involves obtaining and managing the consent of individuals for the collection, use, or sharing of their personal data. Assessing this skill allows recruiters to evaluate a candidate's knowledge of consent requirements, their ability to establish consent mechanisms, and their understanding of the legal implications of consent management.
Data Retention: Data retention refers to the period for which personal data is stored and maintained. Including this skill in the test helps recruiters assess a candidate's understanding of data retention policies, their ability to determine appropriate retention periods, and their knowledge of legal obligations regarding data retention.
Data Subject Rights: Data subject rights refer to the rights of individuals over their personal data, including the right to access, rectify, erase, or restrict the processing of their data. Evaluating this skill helps recruiters assess a candidate's understanding of data subject rights under data protection laws and their ability to handle data subject requests effectively.
Data Transfer: Data transfer involves the transmission of personal data from one location or organization to another. Assessing this skill allows recruiters to gauge a candidate's knowledge of data transfer regulations, their ability to implement appropriate data transfer mechanisms, and their understanding of the risks associated with cross-border data transfers.
Data Controllers: Data controllers are entities that determine the purposes and means of processing personal data. Including this skill in the test helps recruiters assess a candidate's understanding of the rights and responsibilities of data controllers under data protection laws and their ability to ensure compliance with data protection obligations as a controller.
Data Processors: Data processors are entities that process personal data on behalf of data controllers. Measuring this skill helps recruiters assess a candidate's knowledge of the responsibilities and obligations of data processors, their ability to implement appropriate security measures, and their understanding of the contractual requirements for data processing.
