Mapping the Path to a Health Data Marketplace in Norway: An Exploratory Case Study

This Master's thesis explores the complex dynamics of health data in the digital age, focusing on its secure and efficient management and ethical considerations. It investigates the potential of implementing a Health Data Marketplace (HDM) in the Norwegian e-health sector, aiming to construct a seamless health data exchange platform. This study proposes the integration of an existing health data gateway, the Egde Health Gateway (EHG), with the HDM. The research offers an in-depth analysis of existing limitations in health data exchange systems in Norway. It addresses current research gaps in Data Marketplace, Business Models, Gateways, and the Norwegian e-health context. Guided by two central research questions, this thesis delves into identifying essential components required to successfully implement an HDM in Norway and how this marketplace could be established using an existing data platform. Significantly, the thesis underscores the pivotal role of primary stakeholders in the HDM - Platform Operators, Platform Users, and Legal Authorities. The exploration reveals that Platform Operators are vital influencers, fostering collaboration and innovation within the ecosystem, while Platform Users and Legal Authorities ensure the marketplace's innovative and compliance aspects. Additionally, this study identifies essential components for successfully integrating an HDM into an existing health data platform, including Data Standardization, Interoperability, Integration, Security, Trust, and Legal Frameworks, among others. The thesis marks a significant step towards realizing an HDM in the Norwegian e-health sector. It invites future research to broaden stakeholder perspectives, examine economic aspects of the HDM, and delve into ethical considerations and technological innovations. The findings from this exploration serve as a catalyst for leveraging health data effectively, securely, and ethically, contributing to improved healthcare outcomes, research, and innovation in Norway and beyond

Mapping the Path to a Health Data Marketplace in Norway: An Exploratory Case Study

This Master's thesis explores the complex dynamics of health data in the digital age, focusing on its secure and efficient management and ethical considerations. It investigates the potential of implementing a Health Data Marketplace (HDM) in the Norwegian e-health sector, aiming to construct a seamless health data exchange platform. This study proposes the integration of an existing health data gateway, the Egde Health Gateway (EHG), with the HDM. The research offers an in-depth analysis of existing limitations in health data exchange systems in Norway. It addresses current research gaps in Data Marketplace, Business Models, Gateways, and the Norwegian e-health context. Guided by two central research questions, this thesis delves into identifying essential components required to successfully implement an HDM in Norway and how this marketplace could be established using an existing data platform. Significantly, the thesis underscores the pivotal role of primary stakeholders in the HDM - Platform Operators, Platform Users, and Legal Authorities. The exploration reveals that Platform Operators are vital influencers, fostering collaboration and innovation within the ecosystem, while Platform Users and Legal Authorities ensure the marketplace's innovative and compliance aspects. Additionally, this study identifies essential components for successfully integrating an HDM into an existing health data platform, including Data Standardization, Interoperability, Integration, Security, Trust, and Legal Frameworks, among others. The thesis marks a significant step towards realizing an HDM in the Norwegian e-health sector. It invites future research to broaden stakeholder perspectives, examine economic aspects of the HDM, and delve into ethical considerations and technological innovations. The findings from this exploration serve as a catalyst for leveraging health data effectively, securely, and ethically, contributing to improved healthcare outcomes, research, and innovation in Norway and beyon

Trustworthy Large Models in Vision: A Survey

The rapid progress of Large Models (LMs) has recently revolutionized various fields of deep learning with remarkable grades, ranging from Natural Language Processing (NLP) to Computer Vision (CV). However, LMs are increasingly challenged and criticized by academia and industry due to their powerful performance but untrustworthy behavior, which urgently needs to be alleviated by reliable methods. Despite the abundance of literature on trustworthy LMs in NLP, a systematic survey specifically delving into the trustworthiness of LMs in CV remains absent. In order to mitigate this gap, we summarize four relevant concerns that obstruct the trustworthy usage in vision of LMs in this survey, including 1) human misuse, 2) vulnerability, 3) inherent issue and 4) interpretability. By highlighting corresponding challenge, countermeasures, and discussion in each topic, we hope this survey will facilitate readers' understanding of this field, promote alignment of LMs with human expectations and enable trustworthy LMs to serve as welfare rather than disaster for human society

The Politics and Ethics of Representation in Qualitative Research

This book offers insights on politics and ethics of representation that are relevant to researchers concerned with struggles for justice. It takes moments of discomfort in the qualitative research process as important sites of knowledge for exploring representationalpractices in critical research. The Politics and Ethics of Representation in Qualitative Research draws on experiences from research processes in nine PhD projects. In some chapters, ethical and political dilemmas related to representational practices are analyzed as experienced in fieldwork. In others, the focus is on the production of representation at the stage of writing. The book deals with questions such as: What does it mean to write about the lives of others? How are ethics and politics of representation intertwined, and how are they distinct? How are politics of representation linked to a practice of solidarity in research? What are the im/possibilities of hope and care in research? Drawing on grounded empirical research, the book offers input to students, PhDs, researchers, practitioners, activists and others dealing with methodological dilemmas from a critical perspective. Instead of ignoring discomforts, or describing them as solved, we stay with them, showing how such a reflective process provides new, ongoing insights. The Open Access version of this book, available at http://www.taylorfrancis.com/books/e/9780429299674, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license

Distributed Differential Privacy and Applications

Recent growth in the size and scope of databases has resulted in more research into making productive use of this data. Unfortunately, a significant stumbling block which remains is protecting the privacy of the individuals that populate these datasets. As people spend more time connected to the Internet, and conduct more of their daily lives online, privacy becomes a more important consideration, just as the data becomes more useful for researchers, companies, and individuals. As a result, plenty of important information remains locked down and unavailable to honest researchers today, due to fears that data leakages will harm individuals. Recent research in differential privacy opens a promising pathway to guarantee individual privacy while simultaneously making use of the data to answer useful queries. Differential privacy is a theory that provides provable information theoretic guarantees on what any answer may reveal about any single individual in the database. This approach has resulted in a flurry of recent research, presenting novel algorithms that can compute a rich class of computations in this setting. In this dissertation, we focus on some real world challenges that arise when trying to provide differential privacy guarantees in the real world. We design and build runtimes that achieve the mathematical differential privacy guarantee in the face of three real world challenges: securing the runtimes against adversaries, enabling readers to verify that the answers are accurate, and dealing with data distributed across multiple domains

Challenges in Cybersecurity and Privacy - the European Research Landscape

Cybersecurity and Privacy issues are becoming an important barrier for a trusted and dependable global digital society development. Cyber-criminals are continuously shifting their cyber-attacks specially against cyber-physical systems and IoT, since they present additional vulnerabilities due to their constrained capabilities, their unattended nature and the usage of potential untrustworthiness components. Likewise, identity-theft, fraud, personal data leakages, and other related cyber-crimes are continuously evolving, causing important damages and privacy problems for European citizens in both virtual and physical scenarios. In this context, new holistic approaches, methodologies, techniques and tools are needed to cope with those issues, and mitigate cyberattacks, by employing novel cyber-situational awareness frameworks, risk analysis and modeling, threat intelligent systems, cyber-threat information sharing methods, advanced big-data analysis techniques as well as exploiting the benefits from latest technologies such as SDN/NFV and Cloud systems. In addition, novel privacy-preserving techniques, and crypto-privacy mechanisms, identity and eID management systems, trust services, and recommendations are needed to protect citizens’ privacy while keeping usability levels. The European Commission is addressing the challenge through different means, including the Horizon 2020 Research and Innovation program, thereby financing innovative projects that can cope with the increasing cyberthreat landscape. This book introduces several cybersecurity and privacy research challenges and how they are being addressed in the scope of 15 European research projects. Each chapter is dedicated to a different funded European Research project, which aims to cope with digital security and privacy aspects, risks, threats and cybersecurity issues from a different perspective. Each chapter includes the project’s overviews and objectives, the particular challenges they are covering, research achievements on security and privacy, as well as the techniques, outcomes, and evaluations accomplished in the scope of the EU project. The book is the result of a collaborative effort among relative ongoing European Research projects in the field of privacy and security as well as related cybersecurity fields, and it is intended to explain how these projects meet the main cybersecurity and privacy challenges faced in Europe. Namely, the EU projects analyzed in the book are: ANASTACIA, SAINT, YAKSHA, FORTIKA, CYBECO, SISSDEN, CIPSEC, CS-AWARE. RED-Alert, Truessec.eu. ARIES, LIGHTest, CREDENTIAL, FutureTrust, LEPS. Challenges in Cybersecurity and Privacy - the European Research Landscape is ideal for personnel in computer/communication industries as well as academic staff and master/research students in computer science and communications networks interested in learning about cyber-security and privacy aspects