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.
The life of trailblazing physicist Mildred Dresselhaus, who expanded our understanding of the physical world. As a girl in New York City in the 1940s, Mildred “Millie” Dresselhaus was taught that there were only three career options open to women: secretary, nurse, or teacher. But sneaking into museums, purchasing three-cent copies of National Geographic, and devouring books on the history of science ignited in Dresselhaus (1930–2017) a passion for inquiry. In Carbon Queen, science writer Maia Weinstock describes how, with curiosity and drive, Dresselhaus defied expectations and forged a career as a pioneering scientist and engineer. Dresselhaus made highly influential discoveries about the properties of carbon and other materials and helped reshape our world in countless ways—from electronics to aviation to medicine to energy. She was also a trailblazer for women in STEM and a beloved educator, mentor, and colleague. Her path wasn’t easy. Dresselhaus’s Bronx childhood was impoverished. Her graduate adviser felt educating women was a waste of time. But Dresselhaus persisted, finding mentors in Nobel Prize–winning physicists Rosalyn Yalow and Enrico Fermi. Eventually, Dresselhaus became one of the first female professors at MIT, where she would spend nearly six decades. Weinstock explores the basics of Dresselhaus’s work in carbon nanoscience accessibly and engagingly, describing how she identified key properties of carbon forms, including graphite, buckyballs, nanotubes, and graphene, leading to applications that range from lighter, stronger aircraft to more energy-efficient and flexible electronics.
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.
Using the factor analysis of information risk (FAIR) methodology developed over ten years and adopted by corporations worldwide, Measuring and Managing Information Risk provides a proven and credible framework for understanding, measuring, and analyzing information risk of any size or complexity. Intended for organizations that need to either build a risk management program from the ground up or strengthen an existing one, this book provides a unique and fresh perspective on how to do a basic quantitative risk analysis. Covering such key areas as risk theory, risk calculation, scenario modeling, and communicating risk within the organization, Measuring and Managing Information Risk helps managers make better business decisions by understanding their organizational risk. Uses factor analysis of information risk (FAIR) as a methodology for measuring and managing risk in any organization. Carefully balances theory with practical applicability and relevant stories of successful implementation. Includes examples from a wide variety of businesses and situations presented in an accessible writing style.
'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?
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
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
AN INSTANT NEW YORK TIMES BESTSELLER • A REESE'S BOOK CLUB PICK Tired, stressed, and in need of more help from your partner? Imagine running your household (and life!) in a new way... It started with the Sh*t I Do List. Tired of being the “shefault” parent responsible for all aspects of her busy household, Eve Rodsky counted up all the unpaid, invisible work she was doing for her family—and then sent that list to her husband, asking for things to change. His response was...underwhelming. Rodsky realized that simply identifying the issue of unequal labor on the home front wasn't enough: She needed a solution to this universal problem. Her sanity, identity, career, and marriage depended on it. The result is Fair Play: a time- and anxiety-saving system that offers couples a completely new way to divvy up domestic responsibilities. Rodsky interviewed more than five hundred men and women from all walks of life to figure out what the invisible work in a family actually entails and how to get it all done efficiently. With 4 easy-to-follow rules, 100 household tasks, and a series of conversation starters for you and your partner, Fair Play helps you prioritize what's important to your family and who should take the lead on every chore, from laundry to homework to dinner. “Winning” this game means rebalancing your home life, reigniting your relationship with your significant other, and reclaiming your Unicorn Space—the time to develop the skills and passions that keep you interested and interesting. Stop drowning in to-dos and lose some of that invisible workload that's pulling you down. Are you ready to try Fair Play? Let's deal you in.
The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From the standpoint of methodology, the development follows a multiscale approach with emphasis on electronic-structure, atomistic, and mesoscale methods, as well as mathematical analysis and rate processes. Basic models are treated across traditional disciplines, not only in the discussion of methods but also in chapters on crystal defects, microstructure, fluids, polymers and soft matter. Written by authors who are actively participating in the current development, this collection of 150 articles has the breadth and depth to be a major contributor toward defining the field of computational materials. In addition, there are 40 commentaries by highly respected researchers, presenting various views that should interest the future generations of the community. Subject Editors: Martin Bazant, MIT; Bruce Boghosian, Tufts University; Richard Catlow, Royal Institution; Long-Qing Chen, Pennsylvania State University; William Curtin, Brown University; Tomas Diaz de la Rubia, Lawrence Livermore National Laboratory; Nicolas Hadjiconstantinou, MIT; Mark F. Horstemeyer, Mississippi State University; Efthimios Kaxiras, Harvard University; L. Mahadevan, Harvard University; Dimitrios Maroudas, University of Massachusetts; Nicola Marzari, MIT; Horia Metiu, University of California Santa Barbara; Gregory C. Rutledge, MIT; David J. Srolovitz, Princeton University; Bernhardt L. Trout, MIT; Dieter Wolf, Argonne National Laboratory.
