![]() ![]() Hence, it is strongly recommended that an organization publicly state its privacy policy, indicating the nature of data collected and the reasons behind it. The transparency part means what is being done to the data is not hidden from data subjects, i.e., all the information and communication concerning personal data usage be easily accessible, clear, and easily deciphered. The lawfulness part entails being knowledgeable of GDPR data collection rules. Organizations should ensure that their data processing activities do not break the law. The processing of data by organizations should be lawful, fair, and transparent. Data processing encompasses the following processes: data collection, organizing, storage, structuring, altering, consulting, usage, erasure, destruction, communicating, or restricting. ![]() The GDPR’s seven principles deal with the lawful processing of personal data. The GDPR’s main aim is to give people control of their data and simplify the regulatory environment for international business. Provide greater control and understanding to individuals over how their data is collected and usedĭata protection principles fall under the General Data Protection Regulation (GDPR), an EU regulation on data protection and privacy.Placing responsibilities with organizations on handling personal data.Ensure fair and friendly practices in commercial activities between consumers and businesses.Ensure that the fundamental rights and freedoms of providers of data are being upheld.Protect personal data from being misused, mishandled, or exploited.It is becoming more important as the volume of data collected and stored digitally on online platforms is rising. The concept of data protection applies to personal, business, public entities, and political and international data. Data protection includes factors such as data integrity, data privacy, protection from errors and corruption, and guidance on the use of data by businesses. It involves ensuring the privacy and safeguarding of data from compromise. Data protection is the practice of safeguarding data from loss, corruption, or compromise. ![]()
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