Bøger i Perspectives in Law, Business serien

This book argues that large corporations need to implement governance practices and processes that make them better innovators and that the challenge is to identify organizational principles and practices that provide the best chance of delivering innovative products to create a meaningful consumer experience. In this context, it is important to recognize that when we address organizational forms, we are not thinking of corporate governance in the sense of managing agency costs and ensuring regulatory compliance, but the more pressing business task of putting in place organizational systems and processes that facilitate value creation through continued and sustained innovation. The book examines how the contemporary concept and discourse of corporate governance may be obsolete or, at least, is increasingly disconnected from the needs and realities of the most innovative firms today. The concept of organizing for innovation-identifying process and practices that deliver the best opportunities for innovation-needs to take centre stage. This book aims to contribute to the nascent debate in this area by bringing together a series of chapters that examine various issues related to organizing for innovation.

Data sharing ¿ broadly defined as the exchange of health-related data among multiple controllers and processors ¿ has gained increased relevance in the health sciences over recent years as the need and demand for collaboration has increased. This includes data obtained through healthcare provisions, clinical trials, observational studies, public health surveillance programs, and other data collection methods. The practice of data sharing presents several notable challenges, however. Compliance with a complex and dynamic regulatory framework is essential, with the General Data Protection Regulation being a prominent example in a European context. Recent regulatory developments related to clinical trial transparency, trade secrecy, data access, AI training data, and health data spaces further contribute to the difficulties. Simultaneously, government initiatives often encourage scientists to embrace principles of ¿open datä and ¿open innovation.¿The variety of regulations in this domain has the potential to impede widespread data sharing and hinder innovation. This edited volume, therefore, compiles comparative case studies authored by leading scholars from diverse disciplines and jurisdictions. The book aims to outline the legal complexities of data sharing. By examining real-world scenarios from diverse disciplines and a global perspective, it explores the normative, policy, and ethical dilemmas that surround data sharing in the health sciences today.Chapter Patient Perspectives on Data Sharing, Chapter Supplementary Measures and Appropriate Safeguards for International Transfers of Health Data after Schrems II are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.