General Data Protection Regulation (GDPR)

The GDPR is a data protection and privacy regulation by the EU, effective since May 25, 2018. It applies to EU member states and organizations processing EU citizens' personal data, even if located outside the EU. GDPR covers the following scope:
  1. Personal data: Identifiable information about an individual, such as names, email addresses, location data, ethnicity, gender, biometric data, religious beliefs, web cookies, and political opinions.
  2. Data processing: any action, whether automated or manual, performed on data. Examples include collecting, recording, organizing, structuring, storing, using, and erasing data.
  3. Data subject: A person whose data is being processed, such as customers or site visitors.
  4. Data controller: A person responsible for determining the purposes and methods of processing personal data. 
  5. Data processor: A third party (email server, cloud) that processes personal data  on behalf of a data controller. 

Key principles of the GDPR include:
  1. Lawfulness, fairness, and transparency: Personal data must be processed lawfully, with transparency about how it will be used, and in a way that respects individuals' rights.
  2. Purpose limitation: Personal data should only be collected and processed for specific, explicit, and legitimate purposes.
  3. Data minimization: Organizations should collect and process only the personal data that is necessary for the stated purposes.
  4. Accuracy: Personal data should be accurate, and reasonable steps should be taken to ensure it is kept up to date.
  5. Storage limitation: Personal data should be kept for no longer than necessary for the purposes it was collected, and organizations should have policies in place to determine retention periods.
  6. Integrity and confidentiality: Organizations are required to implement appropriate security measures to protect personal data from unauthorized access, loss, or disclosure.
  7. Accountability: Organizations must be able to demonstrate compliance with the GDPR and have processes and policies in place to protect individuals' rights.

Comments

Post a Comment

Popular posts from this blog

QUALITY MANAGEMENT PRINCIPLES & PRACTICES

Image
  I.       QUALITY MANAGEMENT PRINCIPLES 1.      Meeting Customer Expectations : o    Detail : Quality is defined by how well a product or service meets the needs and expectations of customers. This means understanding what your customers value and ensuring your offerings align with those values. o    Example : If you are developing a software product, quality means delivering a bug-free, user-friendly application that performs the functions your customers need. Regularly gathering customer feedback and making improvements based on their input is crucial.   2.      Everyone's Responsibility : o    Detail : Quality is not just the responsibility of the quality assurance team; it involves every employee in the organization. Each person must ensure that their work meets the required standards and contributes to the overall quality. o    Example : In yo...
Read more

KPIs EXAMPLES

  Corporate Quality, Security, Software Development Life Cycle, Hardware Development Life Cycle, Manufacturing KPIs (Key Performance Indicators) Examples Key  Performance Indicators (KPIs) are specific metrics that are used to evaluate the performance of an organization, team, or individual in achieving their objectives. These metrics are quantifiable and directly linked to strategic goals, allowing for monitoring progress and making informed decisions. KPIs usually include primary owners, secondary owners, key objectives, measurements, due dates, status updates, percentage completions, comments etc. Here are some examples of KPIs: I.                QUALITY KPIs:   1. Customer Satisfaction Index (CSI):    - Definition: CSI measures how satisfied customers are with a company's products or services.    - Calculation: CSI can be calculated through surveys, feedback forms, o...
Read more

Firmware Development and Debugging

An Approach To Firmware Development and Debugging 1. Understand the Hardware: Before writing firmware, you need a deep understanding of the hardware you're working with. Study the datasheets, reference manuals, and schematics for the microcontroller or embedded system you're using. This will help you understand the available peripherals, memory layout, and other hardware-specific details. 2. Choose a Programming Language: Firmware can be written in various programming languages, with C and C++ being the most common due to their low-level capabilities and efficiency. Choose a language that is supported by the microcontroller's toolchain and suits the project's requirements. 3. Set Up the Development Environment: - Install the necessary Integrated Development Environment (IDE) or text editor. - Install the toolchain (compiler, linker, debugger) that supports your microcontroller. - Set up any necessary drivers for programming and debugging hardware. 4. Start Writing Code:...
Read more