Data-sharing Behavior

Data-sharing Behavior refers to the actions taken by data subjects to provide their personal information to third parties. This includes health data, financial information, consumption habits, and beliefs. Under the GDPR (General Data Protection Regulation) and Taiwan's Personal Data Protection Act (PDPA), each sharing activity must be grounded in a specific legal basis, such as consent or contractual necessity. In a risk management context, this behavior represents a critical control point where data-sharing risks—including unauthorized access, identity theft, and reputation damage—must be mitigated through proper governance and technical controls. ISO 27701 provides the necessary framework to manage these risks by requiring organizations to identify the types of data shared and the risks associated with each recipient. This is distinct from simple data-handling; it focuses on the intentionality and legality of the information exchange itself.

Practical application involves three key steps: First, Data-sharing Inventory & Classification. Companies must categorize data types (e.g., sensitive vs. non-sensitive) to apply appropriate controls according to GDPR Article 9. Second, Consent Management Implementation. This involves creating a user-friendly mechanism for users to grant, withdraw, and manage their consent, ensuring compliance with the 'freely given' requirement of the GDPR. Third, Third-party Risk Assessment (TPRM). Before sharing any data, enterprises must audit the recipient's privacy practices—aligned with ISO 27701 Clause 7.5. For example, a Taiwanese retail company sharing customer purchase data with a logistics partner must ensure a Data Processing Agreement (DPA) is in place. Successful implementation typically results in a 70% reduction in data-related compliance incidents and a significant improvement in customer trust-index scores within the first year.

Taiwan enterprises face three primary challenges. First, the ambiguity between Taiwan's PDPA and the EU's GDPR often leads to confusion regarding 'third-party provision' versus 'outsourcing.' Companies should adopt the stricter GDPR standard to future-proof their operations. Second, the lack of automated Data-sharing Control Systems makes it difficult to track who has access to what data, increasing the risk of accidental leaks. Investing in a centralized Privacy Management Platform is a critical solution. Third, the tension between data-driven business models and privacy regulations often creates internal resistance. The solution is to integrate Privacy by Design (PbD) into the product development lifecycle, ensuring that data-sharing risks are assessed at the requirement-gathering stage rather than after deployment. The priority should be: Month 1-2: Inventory & Risk Assessment; Month 3-5: Control Implementation; Month 6: Internal Audit & Certification.

Winners Consulting Services Co., Ltd. specializes in Data-sharing Behavior for Taiwan enterprises, delivering compliant management systems within 90 days. We have helped over 100 clients navigate the complexities of GDPR and Taiwan's PDPA. Free consultation: https://winners.com.tw/contact