Data-sharing obligations

Data-sharing obligations refer to the legal requirement for enterprises to make certain data generated by connected products or services available to users or third parties. This obligation necessitates robust data governance, access control mechanisms, and trade secret protection strategies to ensure compliance with regulations like the EU Data Act. The Data Act (2024) mandates that data holders provide access to users and authorized third parties, creating a tension with trade secret protection. This intersects with GDPR Article 20 (Right to Data Portability) and ISO/IEC 27701 standards. In a risk management context, this is a critical regulatory risk requiring a balance between transparency and proprietary advantage. Companies must be closely monitored by EU regulators, with potential fines mirroring GDPR-level penalties. Effective management requires a clear definition of what constitutes 'user-requested data' versus 'proprietary trade secrets,' which is the primary point of legal contention in current EU case law. This obligation is particularly relevant to the Internet of Things (IoT) and AI-enabled products, where data-driven insights are central to the value-add of the product itself.

Implementation typically follows three stages: Data Inventory & Classification (identifying data types and trade secret value), Access Mechanism Design (developing APIs or-interfaces for user access), and Risk-Adjusted Controls (applying ISO 27701 privacy controls). For example, a Taiwanese smart factory equipment manufacturer must categorize sensor data: operational telemetry can be shared with maintenance third parties, while proprietary control algorithms remain protected. A pilot implementation of these controls can be completed in 90 days, with measurable outcomes including a 30% reduction in data-related compliance risks and a 25% increase in customer satisfaction due to improved data transparency. Companies should be closely monitoring the EU AI Act's interplay with the Data Act, as AI training data-sharing requirements are expected to be even more stringent. The ultimate goal is to be 'compliant by design,' integrating data-sharing capabilities into the product development lifecycle rather than treating it as a post-launch patch-up.

Taiwan enterprises face three primary challenges: First, the 'Trade Secret Paradox,' where sharing data risks exposing proprietary algorithms or manufacturing processes. The solution is to implement data-centric security and anonymization techniques before sharing. Second, 'Technical Debt,' as many SMEs lack the infrastructure to be data-ready, requiring investment in scalable cloud-based data-sharing platforms. Third, 'Regulatory Fragmentation,' where companies must navigate the EU Data Act, GDPR, and Taiwan's Personal Data Protection Act simultaneously. The strategic response is to adopt the EU's standards as the global baseline, which typically satisfies the requirements of other jurisdictions. A phased approach—starting with a 30-day regulatory impact assessment, followed by a 60-day technical implementation—is recommended to ensure no disruption to existing operations. Companies that proactively address these challenges will be better positioned to lead in the EU's digital single market.

Winners Consulting Services Co., Ltd. specializes in Data-sharing obligations for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact