This book advises the National Archives and Records Administration and federal R&D agencies on the long-term retention of scientific and technical data, particularly in electronic formats. It proposes the creation of a National Scientific Information Resource Federation, which would apply a strategic data life-cycle management plan to better link the government's existing scientific data holdings and improve public access to those holdings. The book is expected to draw attention to data management concerns in the context of the current government emphasis on promoting a National Information Infrastructure and to make a significant contribution to improving the inadequate situation regarding our nation's valuable scientific data and information resources.

A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges. The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges. It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

The Scientific Compendium: A Comprehensive Reference for Data and Formulas The "Science Data Booklet" is an essential companion for students, researchers, and science enthusiasts alike, providing a comprehensive collection of key scientific data and information. This meticulously curated reference book serves as a treasure trove of facts, equations, and formulas from various scientific disciplines, designed to empower readers with the tools they need to excel in their scientific pursuits. Inside this invaluable compendium, readers will discover a wealth of information spanning the realms of physics, chemistry, biology, astronomy, and more. From fundamental constants to conversion factors, this book offers a concise and easily accessible compilation of scientific knowledge that is essential for scientific investigations, experiments, and calculations. Whether you are a student preparing for exams, a researcher seeking quick access to vital data, or a science enthusiast eager to delve deeper into the world of scientific knowledge, this book is your indispensable companion. With the help of this book, you can access a plethora of scientific knowledge at your fingertips, anytime and anywhere. In a world increasingly driven by scientific advancements, the "Science Data Booklet" serves as an invaluable resource for anyone seeking to navigate the complexities of scientific data. This book is not only a reference guide but also a catalyst for curiosity, inspiring readers to explore the wonders of the natural world and embark on their own scientific journeys. Unlock the power of scientific knowledge with the "Science Data Booklet" and embark on a fascinating voyage of discovery, innovation, and understanding.