Large-scale data loss continues to make headline news, highlighting the need for stringent data protection policies, especially when personal or commercially sensitive information is at stake. This book provides detailed analysis of current data protection laws and discusses compliance issues, enabling the reader to construct a platform on which to build internal compliance strategies. The author is chair of the National Association of Data Protection Officers (NADPO).

The complexities of implementing the General Data Protection Regulation (GDPR) continue to grow as it progresses through new and ever-changing technologies, business models, codes of conduct, and decisions of the supervisory authorities, and the courts. This eminently practical guide to implementing the GDPR – written in an original, problem-solving style by a highly experienced data protection expert with equal knowledge of both law and technology – provides a step-by-step project management approach to building a GDPR-compliant data protection system, assessing, and documenting the risks and then implementing these changes through processes at the operational level. With detailed attention to case law (Member State, ECJ, and ECHR), especially where affecting high-risk areas that have attracted scrutiny, the guidance proceeds systematically through such topics and issues as the following: required documentation, policies, and procedures; risk assessment tools and analysis frameworks; children’s data; employee and health data; international transfers post-Schrems II; data subject rights including the right of access; data retention and erasure; tracking and surveillance; and effects of technologies such as artificial intelligence, biometrics, and machine learning. With its practical examples derived from the author’s experience in building GDPR-compliant software, as well as its analysis of case law and enforcement priorities, this incomparable guide enables company data protection officers and compliance staff to advise on key issues with full awareness of the legal and reputational risks and how to mitigate them. It is also sure to be of immeasurable value to concerned regulators and policymakers at all government levels. “…it's going to be the go to resource for practitioners.” Tom Gilligan, Data Protection Consultant, September 2021 "I purchased this book recently and I’m very glad I did. It’s the textbook I have been waiting for. As someone relatively new to data protection, I was finding it very difficult to find books on the practical side of data protection. This book is very clearly laid out with practical examples and case law given for each topic, which is immensely helpful. I would recommend it to any data protection practitioners." Jennifer Breslin, LLM CIPP/E, AIPP Member

Provides commentary and analysis on the complex Law of Options affecting land. This book's coverage includes options to buy, options in wills, rights of pre-emption, transfer of options, options in leases, and remedies for breach of an option agreement

Consent is necessary for collecting, processing and transferring Personal Identifiable Information (PII) and sensitive personal data. But to what extent? What are the limitations and restricts to avoid penalties under The General Data Protection Regulation 2018 (GDPR) rules, which may be up to 4% of annual global turnover or €20 million (whichever is higher), enforcements and sanctions? Under GDPR Article 51, each EU Member State shall maintain an independent public authority to be responsible for monitoring the application of this regulation to protect the fundamental rights of data subjects (Supervisory Authority). The Supervisory Authority has powers to issue warnings, conduct audits, recommend remediation, order erasure of data and suspend data transfers to a third country. GDPR has changed the way data is used, accessed and stored. It's reach extends well beyond the European Union and is the basis of other data privacy laws around the world. This book provides a review and guidance on implementing and compliance of GDPR while taking advantage of technology innovations and supported by real-life examples. The book shows the wide scope of applications to protect data privacy while taking advantage of processes and techniques in various fields such as eDiscovery, Cyber Insurance, Virtual-based Intelligence, Information Security, Cyber Security, Information Governance, Blockchain and Biometric technologies and techniques.

Following the implementation of the new General Data Protect Regulation on 25 May 2018, organizations should now be fully compliant with their national interpretation of this far-reaching data protection standard. The reality is that most are not; whether through their inappropriate use of online cookies or ineffective physical data security, businesses continue to struggle with the increasing pressure from regulators to apply the Regulation. Non-compliance is widely due to misinterpretation, lack of real-world thinking, and challenges in balancing costs against business practicalities. This book provides insight into how to achieve effective compliance in a realistic, no-nonsense and efficient way. The authors have over 100 years’ collective international experience in security, compliance and business disciplines and know what it takes to keep companies secure and in-line with regulators’ demands. Whether your organization needs to swiftly adopt GDPR standards or apply them in “Business as Usual” this book provides a wide range of recommendations and explicit examples. With the likelihood of high-profile penalties causing major reputational damage, this book explains how to reduce risk, run a remedial project, and take immediate steps towards mitigating gaps. Written in plain English, it provides an invaluable international reference for effective GDPR adoption.

This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.