This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.

This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and innovators in all disciplines and stages of their professional activities broadly aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship. The FAIR principles are used as a guide throughout the text, and this book should leave experimentalists consciously incompetent about data stewardship and motivated to respect data stewards as representatives of a new profession, while possibly motivating others to consider a career in the field. The ebook, avalable for no additional cost when you buy the paperback, will be updated every 6 months on average (providing that significant updates are needed or avaialble). Readers will have the opportunity to contribute material towards these updates, and to develop their own data management plans, via the free Data Stewardship Wizard.

The World Wide Web has enabled the creation of a global information space comprising linked documents. As the Web becomes ever more enmeshed with our daily lives, there is a growing desire for direct access to raw data not currently available on the Web or bound up in hypertext documents. Linked Data provides a publishing paradigm in which not only documents, but also data, can be a first class citizen of the Web, thereby enabling the extension of the Web with a global data space based on open standards - the Web of Data. In this Synthesis lecture we provide readers with a detailed technical introduction to Linked Data. We begin by outlining the basic principles of Linked Data, including coverage of relevant aspects of Web architecture. The remainder of the text is based around two main themes - the publication and consumption of Linked Data. Drawing on a practical Linked Data scenario, we provide guidance and best practices on: architectural approaches to publishing Linked Data; choosing URIs and vocabularies to identify and describe resources; deciding what data to return in a description of a resource on the Web; methods and frameworks for automated linking of data sets; and testing and debugging approaches for Linked Data deployments. We give an overview of existing Linked Data applications and then examine the architectures that are used to consume Linked Data from the Web, alongside existing tools and frameworks that enable these. Readers can expect to gain a rich technical understanding of Linked Data fundamentals, as the basis for application development, research or further study. Table of Contents: List of Figures / Introduction / Principles of Linked Data / The Web of Data / Linked Data Design Considerations / Recipes for Publishing Linked Data / Consuming Linked Data / Summary and Outlook

'Ben's book is an elegant and essential intervention in an era of enervating culture wars. It asks and answers nothing less than the most important question of our time: how can we recover the ability to talk to one another?' - Sathnam Sanghera, author of Empireland What does it mean to be fair? Why do we feel unfairness so strongly? What has happened to us today that we spend more time condemning each other's views than giving each other a fair hearing? The idea of fairness is one of the most commonly-expressed concepts, yet nobody ever stops to think what it really means. We all simply take the word 'fair' for granted. In this polemical guide to fairness, Ben Fenton explains the meaning of the word, how it fits into our genetic make-up and why we need our innate sense of fair play now more than ever. Fenton explores the idea that the unconscious procedure that humans go through in deciding fairness is the vital balancing act between competition and cooperation, the two driving forces that have made us the super-species of Planet Earth. He describes the neurology, anthropology, psychology, history and future of fairness and looks at how it affects our lives through politics, law, sex, religion, race, sport, business and even war. As a reporter of thirty years' experience, Fenton brings all his skills to bear in a lively and challenging description of the profound inner meaning of a throwaway phrase and why it matters so much to every single person in the world to seek To Be Fair. PART I – WHY SHOULD WE TRY TO BE FAIR? 1. Why You Should Read This Book 2. The Principles of Fairness 3. The Neurology and Psychology of Fairness 4. Fairness in History 5. Is Fairness a Creation of the English speaking World? (Spoiler alert: No) PART II – WHAT DOES FAIRNESS LOOK LIKE IN THE MODERN WORLD? 6. Fairness in Sport (and other forms of War) 7. Fairness in Business and Economics 8. Fairness in Law and Taxation 9. Fairness in Communication and Technology 10. Fairness in Politics and Government 11. Fairness in Human Relationships 12. Is Fair Play the Answer to the Ultimate Question?

This textbook focuses on the nascent field of Immunoepidemiology that addresses how differences in immune responses among individuals affect the epidemiology of infectious diseases, cancer, hypersensitivity, and autoimmunity. The idea for the book originated from a course entitled “Immunology for Epidemiologists“ at the Yale School of Public Health. While many fine textbooks are available that address the immunological responses of individuals to pathogens, these provided very little information regarding how immunological variation among populations affects the epidemiology of disease. And yet, it has long been recognized that there is great immunologic diversity among people, which can have a profound effect on the epidemiology of disease. Careful review of the immunologic and epidemiologic literature revealed that there have been relatively few publications concerning immunoepidemiology and that no textbook is available on the subject. This textbook therefore aims to fill this void by providing a much-needed tool to comprehensively and efficiently teach immunoepidemiology. The book includes a section on the basic principles of immunology, and then applies them to particular examples of disease in human populations. The target audience for this text book are Masters of Public Health students. Others who should also find it of interest include PhD students in epidemiology, immunology, medical students, generalists, and specialists in immunology, infectious diseases, cancer, and rheumatology.

Explains what fairness is and ways to be fair.