Data Protection Commission Ireland’s Post

A risk-profile of the personal data your organisation processes should be determined according to the personal data processing operations carried out, the complexity and scale of data processing, the sensitivity of the data processed and the protection required for the data being processed. Find out more about a risk-based approach to data protection: https://lnkd.in/eQSszcpB

ASERVE process servers and tracing agents noted the Risk-Profile of personal data which is a very part of our data protection policy. #aserve #process #summons #server #tracing #agent #lifestyle #property

Data is the new gold.💰 But just like gold, once you have it - you need to protect it. Let's dive deeper into the six data protection principles. 1. 𝗟𝗮𝘄𝗳𝘂𝗹𝗻𝗲𝘀𝘀, 𝗳𝗮𝗶𝗿𝗻𝗲𝘀𝘀, 𝗮𝗻𝗱 𝘁𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝗰𝘆: The first principle and arguably the most important, requires that personal data be processed lawfully, fairly, and transparently. Yet, how often do we overlook the transparency aspect? 2. 𝗗𝗮𝘁𝗮 𝗺𝗶𝗻𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: More data doesn't necessarily mean better. This principle emphasizes the 'less is more' concept - collect only what's necessary. A principle that's often shadowed by our data-driven world. 3. 𝗣𝘂𝗿𝗽𝗼𝘀𝗲 𝗹𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻: We're all guilty of collecting data 'just in case.' But the purpose limitation principle states that personal data should be collected for specified, explicit, and legitimate purposes only. It's time to reconsider our data collection habits. 4. 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: The value of data lies in its accuracy. However, the constant flux of information can make maintaining accuracy challenging. Yet, it's not a principle to compromise on. 5. 𝗦𝘁𝗼𝗿𝗮𝗴𝗲 𝗹𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻: We've become digital hoarders. Why delete data when storage is cheap? This principle challenges that mindset. It's about data lifecycle management, not data accumulation. 6. 𝗜𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝘁𝗶𝗮𝗹𝗶𝘁𝘆: The final principle reminds us that data is not just a resource but a responsibility. Ensuring its integrity and confidentiality should be a priority, not an afterthought. These principles are not just guidelines; they're the backbone of data protection. Let's not forget their importance amidst the data rush. Take a moment today to reflect on how well you're adhering to these principles. Innovation starts with protection and responsibility.

Data Protection Impact Assessment

Singapore's Personal Data Protection Act (PDPA) outlines important regulations for data protection. One key aspect to note is that under the PDPA, Business Contact Information (BCI) is explicitly excluded from its data protection obligations. BCI comprises information that individuals provide for business purposes, such as their name, position or title, business telephone number, business address, business email, business fax number, and similar details. This exemption exists because such information is typically made publicly available, often through websites and other means, to support the organization's business objectives. It's essential to understand that information about companies or public authorities is not considered personal data under the PDPA. However, when it comes to individuals, specifically those acting as sole traders, employees, partners, or company directors, the distinction depends on their individual identifiability and the relevance of the information to them as individuals. If the data can identify and relate to them individually, it may qualify as personal data under the PDPA. A notable concern arises when government agency staff members are not sufficiently familiar with the PDPA. This can result in inadvertent disclosure of personal data, such as NRIC and home addresses of company directors, to the public. To address this issue, organizations must exercise caution and implement necessary measures to safeguard personal data in their possession. So, what should B2B organizations keep in mind regarding PDPA compliance? While the Notifiable breach criteria typically includes scenarios involving significant harm, like medical or financial data breaches, or those affecting 500 or more individuals, B2B organizations need to be proactive in ensuring their staff's personal data remains protected. Even if they handle limited personal data, these organizations should establish measures to safeguard this data and ensure compliance with all PDPA obligations. The level of risk may be lower for organizations dealing with a minimal amount of personal data, but the need for adequate data protection measures and compliance with the PDPA remains essential. In essence, every organization, regardless of its size or the type of data it handles, should prioritize data protection and compliance with the PDPA to maintain the trust and privacy of individuals and businesses alike.

Compliance with the Data Protection Act has been part of life since 2018 and it is easy to take it for granted. It is no accident that the ICO keeps its beginners guide to data protection up to date and it is very useful.

Six Principles of the proposed Digital Personal Data Protection (#DPDP) Bill in India: 1) Lawful Collection and Usage: The collection and usage of personal data of Indian citizens should be lawful, protecting it from breaches, and maintaining transparency. This principle emphasizes that data collection and usage must adhere to legal standards, ensure data security, and be conducted transparently. 2) Legal Purpose and Data Storage: Data collection exercises should have a legal purpose, and the collected data should be securely stored until that purpose is fulfilled. This principle highlights the importance of collecting data only for legitimate reasons and retaining it safely until its intended purpose is met. 3) Data Minimization: Only relevant data should be collected from individuals, and the primary focus should be on serving the predefined purpose. This principle encourages limiting data collection to what is necessary and avoiding unnecessary intrusion into individuals' privacy. 4) Data Protection and Accountability: This principle emphasizes the need for strong data protection measures and holds entities accountable for safeguarding the data they collect. It likely includes provisions for ensuring the security and proper handling of personal data. 5) Accuracy of Data: Personal data should be accurate and up-to-date. This Principle highlights the importance of maintaining accurate records and preventing the propagation of incorrect or outdated information. 6) Reporting Data Breaches: In the event of a data breach, it should be reported in a fair, transparent, and equitable manner to the Data Protection Boards. This principle underscores the need for prompt and transparent reporting of data breaches to the appropriate authorities. Additionally, the #DPDP bill proposes data protection legislation that allows the transfer and storage of personal data in certain countries, while also increasing penalties for violations. The legislation would require obtaining consent before collecting personal data and introduces significant penalties, potentially as high as ₹500 crore, for individuals and companies that fail to prevent data breaches, including accidental disclosures, sharing, altering, or destroying personal data. In the upcoming days or months, additional guidance will be issued. It is strongly advisable for enterprises to commence their preparedness efforts promptly, initiating their journey by prioritizing the foundational aspect of data hygiene. Should you require assistance or preparedness support concerning the #DPDP bill, feel free to reach out to #proarch.

Data Hoarding 🔔 Data hoarding refers to the practice of accumulating and retaining large amounts of data without a clear purpose or strategy for its use. This can occur within organizations or by individuals who collect data indiscriminately without considering the potential impact or value of storing such data. Here are some key points about data hoarding: 🔊 Accumulation Without Purpose: Data hoarding often occurs when organizations or individuals collect data without a specific reason or defined use case. This can lead to the accumulation of vast quantities of data that may be redundant, outdated, or irrelevant over time. 🔊 Storage Costs: Storing large amounts of data incurs costs related to infrastructure, maintenance, and management. Data hoarding without proper governance and policies can result in unnecessary expenses for storage solutions and cloud services. 🔊 Data Quality and Integrity: Hoarded data may suffer from quality issues such as inaccuracies, inconsistencies, and incompleteness. Without proper data governance practices, hoarded data can degrade in quality over time, leading to unreliable insights and decision-making. 🔊 Security and Privacy Risks: Hoarded data can pose security and privacy risks if it contains sensitive or confidential information. Inadequate data protection measures and access controls can expose hoarded data to unauthorized access, breaches, and compliance violations. 🔊 Compliance Challenges: Data hoarding can complicate compliance with data protection regulations and industry standards. Organizations may struggle to demonstrate compliance with data retention, privacy, and security requirements if they hoard unnecessary or unmanaged data. 🔊 Impact on Analytics and Insights: Hoarded data can hinder data analytics initiatives by overwhelming analytics platforms with irrelevant or low-quality data. This can affect the accuracy, reliability, and relevance of insights derived from analytics processes. To address data hoarding effectively, organizations and individuals should adopt data management best practices, including 📢 🎵 Implementing data governance frameworks to define data policies, standards, and guidelines. 🎵 Conducting regular data audits and assessments to identify and manage redundant, obsolete, or trivial (ROT) data. 🎵 Applying data classification and categorization to prioritize data based on value, relevance, and risk. 🎵 Implementing data retention policies and schedules to manage data lifecycle and minimize storage costs. #it # network # management # data Get Connect - https://lnkd.in/dyUCeSh5

Does your business collect personal data? If so, how do you ensure this data is protected? Click here for some tips on data protection management: https://lnkd.in/egWCHCh5