Repurposing Legacy Data

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Repurposing Legacy Data

Jules J. Berman
Repurposing Legacy Data Book PDF

Author : Jules J. Berman
Publisher : Elsevier
Page : 176 pages
File Size : 43,8 Mb
Release : 2015-03-13
Category : Computers
ISBN : 9780128029152

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Repurposing Legacy Data by Jules J. Berman Pdf

Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking it may have value in the future, though we have no current use for it. The case studies in this book, from such diverse fields as cosmology, quantum physics, high-energy physics, microbiology, psychiatry, medicine, and hospital administration, all serve to demonstrate how innovative people draw value from legacy data. By following the case examples, readers will learn how legacy data is restored, merged, and analyzed for purposes that were never imagined by the original data creators. Discusses how combining existing data with other data sets of the same kind can produce an aggregate data set that serves to answer questions that could not be answered with any of the original data Presents a method for re-analyzing original data sets using alternate or improved methods that can provide outcomes more precise and reliable than those produced in the original analysis Explains how to integrate heterogeneous data sets for the purpose of answering questions or developing concepts that span several different scientific fields

More Technology for the Rest of Us

Nancy D. Courtney
More Technology for the Rest of Us Book PDF

Author : Nancy D. Courtney
Publisher : Bloomsbury Publishing USA
Page : 181 pages
File Size : 44,6 Mb
Release : 2010-02-26
Category : Language Arts & Disciplines
ISBN : 9781591589419

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More Technology for the Rest of Us by Nancy D. Courtney Pdf

In this valuable book, 11 chapters each overview a technology of interest to librarians working in the field today. From cloud computing to data curation to open-source software, the world of technology offers great opportunity—and potential frustration. Nancy Courtney and her team of IT experts have set out to enhance the former and alleviate the latter. More Technology for the Rest of Us: A Second Primer on Computing for the Non-IT Librarian follows up on Courtney's 2005 technology volume by tackling the most recent advances in IT. Each chapter describes a technology important to the library field, explains how it works in terms a non-IT professional can understand, and describes its uses. The essays in More Technology for the Rest of Us are not meant to make readers experts, but to provide a basic introduction to some of the current technologies impacting libraries and their patrons. Articles are brief and clearly written, and computer jargon is defined and explained. Each chapter lists references for further information, and there is a selected bibliography and glossary at the end of the book.

Legacy Data: A Structured Methodology for Device Migration in DSM Technology

Pallab Chatterjee
Legacy Data A Structured Methodology for Device Migration in DSM Technology Book PDF

Author : Pallab Chatterjee
Publisher : Springer Science & Business Media
Page : 141 pages
File Size : 47,8 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461502418

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Legacy Data: A Structured Methodology for Device Migration in DSM Technology by Pallab Chatterjee Pdf

This unique book deals with the migration of existing hard IP from one technology to another, using repeatable procedures. It will allow CAD practitioners to quickly develop methodologies that capitalize on the large volumes of legacy data available within a company today.

The Craft of Qualitative Longitudinal Research

Bren Neale
The Craft of Qualitative Longitudinal Research Book PDF

Author : Bren Neale
Publisher : SAGE
Page : 416 pages
File Size : 55,9 Mb
Release : 2021-03-17
Category : Social Science
ISBN : 9781526455154

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The Craft of Qualitative Longitudinal Research by Bren Neale Pdf

Brimming with life maps, life history calendars, and extracts from transcripts and diaries, this book illustrates by example the unique principles, challenges, and applications of qualitative longitudinal research. Synthesizing current literature on qualitative longitudinal research, it brings together sociological theory and empirically driven longitudinal studies while also highlighting a range of possible research approaches. With a consistent balance of conceptual discussions with hands-on advice, it provides readers with the foundation to adapt lessons-learned from other researchers to fit their own qualitative longitudinal studies. Supported by research tools such as conceptual road maps, short data extracts, consent forms, and other data organization tools, this book provides everything postgraduate researchers need to transition from the classroom to the field.

Logic and Critical Thinking in the Biomedical Sciences

Jules J. Berman
Logic and Critical Thinking in the Biomedical Sciences Book PDF

Author : Jules J. Berman
Publisher : Academic Press
Page : 292 pages
File Size : 50,6 Mb
Release : 2020-07-08
Category : Medical
ISBN : 9780128213629

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Logic and Critical Thinking in the Biomedical Sciences by Jules J. Berman Pdf

All too often, individuals engaged in the biomedical sciences assume that numeric data must be left to the proper authorities (e.g., statisticians and data analysts) who are trained to apply sophisticated mathematical algorithms to sets of data. This is a terrible mistake. Individuals with keen observational skills, regardless of their mathematical training, are in the best position to draw correct inferences from their own data and to guide the subsequent implementation of robust, mathematical analyses. Volume 2 of Logic and Critical Thinking in the Biomedical Sciences provides readers with a repertoire of deductive non-mathematical methods that will help them draw useful inferences from their own data.Volumes 1 and 2 of Logic and Critical Thinking in the Biomedical Sciences are written for biomedical scientists and college-level students engaged in any of the life sciences, including bioinformatics and related data sciences. Demonstrates that a great deal can be deduced from quantitative data, without applying any statistical or mathematical analyses Provides readers with simple techniques for quickly reviewing and finding important relationships hidden within large and complex sets of data Using examples drawn from the biomedical literature, discusses common pitfalls in data interpretation and how they can be avoided

Principles and Practice of Big Data

Jules J Berman
Principles and Practice of Big Data Book PDF

Author : Jules J Berman
Publisher : Academic Press
Page : 480 pages
File Size : 49,5 Mb
Release : 2018-07-23
Category : Computers
ISBN : 9780128156100

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Principles and Practice of Big Data by Jules J Berman Pdf

Principles and Practice of Big Data: Preparing, Sharing, and Analyzing Complex Information, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software (e.g., Hadoop), and without expensive hardware (e.g., supercomputers). The core of every algorithm described in the book can be implemented in a few lines of code using just about any popular programming language (Python snippets are provided). Through the use of new multiple examples, this edition demonstrates that if we understand our data, and if we know how to ask the right questions, we can learn a great deal from large and complex data collections. The book will assist students and professionals from all scientific backgrounds who are interested in stepping outside the traditional boundaries of their chosen academic disciplines. Presents new methodologies that are widely applicable to just about any project involving large and complex datasets Offers readers informative new case studies across a range scientific and engineering disciplines Provides insights into semantics, identification, de-identification, vulnerabilities and regulatory/legal issues Utilizes a combination of pseudocode and very short snippets of Python code to show readers how they may develop their own projects without downloading or learning new software

Data Simplification

Jules J. Berman
Data Simplification Book PDF

Author : Jules J. Berman
Publisher : Morgan Kaufmann
Page : 398 pages
File Size : 54,7 Mb
Release : 2016-03-10
Category : Computers
ISBN : 9780128038543

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Data Simplification by Jules J. Berman Pdf

Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process of data simplification is anything but simple, requiring a specialized set of skills and tools. This book provides data scientists from every scientific discipline with the methods and tools to simplify their data for immediate analysis or long-term storage in a form that can be readily repurposed or integrated with other data. Drawing upon years of practical experience, and using numerous examples and use cases, Jules Berman discusses the principles, methods, and tools that must be studied and mastered to achieve data simplification, open source tools, free utilities and snippets of code that can be reused and repurposed to simplify data, natural language processing and machine translation as a tool to simplify data, and data summarization and visualization and the role they play in making data useful for the end user. Discusses data simplification principles, methods, and tools that must be studied and mastered Provides open source tools, free utilities, and snippets of code that can be reused and repurposed to simplify data Explains how to best utilize indexes to search, retrieve, and analyze textual data Shows the data scientist how to apply ontologies, classifications, classes, properties, and instances to data using tried and true methods

Evolution's Clinical Guidebook

Jules J. Berman
Evolution s Clinical Guidebook Book PDF

Author : Jules J. Berman
Publisher : Academic Press
Page : 357 pages
File Size : 49,9 Mb
Release : 2019-04-25
Category : Science
ISBN : 9780128171271

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Evolution's Clinical Guidebook by Jules J. Berman Pdf

Evolution's Clinical Guidebook: Translating Ancient Genes into Precision Medicine demonstrates, through well-documented examples, how an understanding of the phylogenetic ancestry of humans allows us to make sense out of the flood of genetic data streaming from modern laboratories and how it can lead us to new ways to prevent, diagnose and treat diseases. Topics cover evolution and human genome, meiosis and other recombinants events, embryology, speciation, phylogeny, rare and common diseases, and the evolution of aging. This book is a valuable source for bioinformaticians and those in the biomedical field who need knowledge, down to gene level, to fully comprehend currently available data. Offers an innovative approach, focusing on how disease-associated pathways evolved Explains how the fields of phylogeny and embryology have become closely tied to the fields of genetics and bioinformatics Demonstrates how students and biomedical professionals can apply the knowledge obtained in this book to the theory and practice of precision medicine

Taxonomic Guide to Infectious Diseases

Jules J. Berman
Taxonomic Guide to Infectious Diseases Book PDF

Author : Jules J. Berman
Publisher : Academic Press
Page : 399 pages
File Size : 48,5 Mb
Release : 2019-05-31
Category : Medical
ISBN : 9780128175774

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Taxonomic Guide to Infectious Diseases by Jules J. Berman Pdf

Taxonomic Guide to Infectious Diseases: Understanding the Biologic Classes of Pathogenic Organisms, Second Edition tackles the complexity of clinical microbiology by assigning every infectious organism to one of 40+ taxonomic classes and providing a description of the defining traits that apply to all the organisms within each class. This edition is an updated, revised and greatly expanded guide to the classes of organisms that infect humans. This book will provide students and clinicians alike with a simplified way to understand the complex fields of clinical microbiology and parasitology. Focuses on human disease processes and includes numerous clinical tips for healthcare providers Describes the principles of classification and explains why the science of taxonomy is vital to the fields of bioinformatics and modern disease research Provides images of prototypical organisms for taxonomic classes Includes a section that lists common taxonomic pitfalls and how they can be avoided

Digital Oil

Eric Monteiro
Digital Oil Book PDF

Author : Eric Monteiro
Publisher : MIT Press
Page : 229 pages
File Size : 40,7 Mb
Release : 2022-11-08
Category : Technology & Engineering
ISBN : 9780262372299

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Digital Oil by Eric Monteiro Pdf

How is digitalization of the offshore oil industry fundamentally changing how we understand work and ways of knowing? Digitalization sits at the forefront of public and academic conversation today, calling into question how we work and how we know. In Digital Oil, Eric Monteiro uses the Norwegian offshore oil and gas industry as a lens to investigate the effects of digitalization on embodied labor, and in doing so shows how our use of new digital technology transforms work and knowing. For years, roughnecks have performed the dangerous and unwieldy work of extracting the oil that lies three miles below the seabed along the Norwegian Continental Shelf. Today, the Norwegian oil industry is largely digital, operated by sensors and driven by data. Digital representations of physical processes inform work practices and decision-making with remotely operated, unmanned deep-sea facilities. Drawing on two decades of in-depth interviews, observations, news clips, and studies of this industry, Eric Monteiro dismantles the divide between the virtual and the physical in Digital Oil. What is gained or lost when objects and processes become algorithmic phenomena with the digital inferred from the physical? How can data-driven work practices and operational decision-making approximate qualitative interpretation, professional judgement, and evaluation? How are emergent digital platforms and infrastructures, as machineries of knowing, enabling digitalization? In answering these questions Monteiro offers a novel analysis of digitalization as an effort to press the limits of quantification of the qualitative.

Software Reuse in the Emerging Cloud Computing Era

Yang, Hongji
Software Reuse in the Emerging Cloud Computing Era Book PDF

Author : Yang, Hongji
Publisher : IGI Global
Page : 346 pages
File Size : 43,9 Mb
Release : 2012-04-30
Category : Computers
ISBN : 9781466608986

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Software Reuse in the Emerging Cloud Computing Era by Yang, Hongji Pdf

"This book clarifies the present fast-advancing literature of the current state of art and knowledge in the areas of the development and reuse of reusable assets in emerging software systems and applications"--Provided by publisher.

Navigating the Landscape of FAIR Data Sharing and Reuse: Repositories, Standards, and Resources

Maaike M. H. Van Swieten,Christian Haselgrove
Navigating the Landscape of FAIR Data Sharing and Reuse Repositories Standards and Resources Book PDF

Author : Maaike M. H. Van Swieten,Christian Haselgrove
Publisher : Frontiers Media SA
Page : 136 pages
File Size : 52,5 Mb
Release : 2024-03-08
Category : Science
ISBN : 9782832545935

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Navigating the Landscape of FAIR Data Sharing and Reuse: Repositories, Standards, and Resources by Maaike M. H. Van Swieten,Christian Haselgrove Pdf

The huge volume of neuroscience data and the wide variety of data formats generated across different neuroscience communities has posed a challenge to traditional methods of data management, data sharing and data mining. Mandates on data sharing and the demand for using open data has driven the development of advanced methodologies and tools to effectively explore, mine and integrate data. However, the growing number of resources make it harder for researchers to navigate this landscape. Awareness of these tools and resources is vital for effective data mining and unlocking new discoveries. The goal of this research collection is to provide an overview of available resources, centred around making data findable, accessible, interoperable and reusable (FAIR).

Classification Made Relevant

Jules J. Berman
Classification Made Relevant Book PDF

Author : Jules J. Berman
Publisher : Academic Press
Page : 446 pages
File Size : 49,9 Mb
Release : 2022-01-25
Category : Computers
ISBN : 9780323972581

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Classification Made Relevant by Jules J. Berman Pdf

Classification Made Relevant: How Scientists Build and Use Classifications and Ontologies explains how classifications and ontologies are designed and used to analyze scientific information. The book presents the fundamentals of classification, leading up to a description of how computer scientists use object-oriented programming languages to model classifications and ontologies. Numerous examples are chosen from the Classification of Life, the Periodic Table of the Elements, and the symmetry relationships contained within the Classification Theorem of Finite Simple Groups. When these three classifications are tied together, they provide a relational hierarchy connecting all of the natural sciences. The book's chapters introduce and describe general concepts that can be understood by any intelligent reader. With each new concept, they follow practical examples selected from various scientific disciplines. In these cases, technical points and specialized vocabulary are linked to glossary items where the item is clarified and expanded. Explains the theory and practice of classification, emphasizing the importance of classifications and ontologies to the modern fields of mathematics, physics, chemistry, biology and medicine Includes numerous real-world examples that demonstrate how bad construction technique can destroy the value of classifications and ontologies Explains how we define and understand the relationships among the classes within a classification and how the properties of a class are inherited by its subclasses Describes ontologies and how they differ from classifications and explains conditions under which ontologies are useful

Precision Medicine and the Reinvention of Human Disease

Jules J. Berman
Precision Medicine and the Reinvention of Human Disease Book PDF

Author : Jules J. Berman
Publisher : Academic Press
Page : 398 pages
File Size : 43,7 Mb
Release : 2018-01-26
Category : Business & Economics
ISBN : 9780128143940

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Precision Medicine and the Reinvention of Human Disease by Jules J. Berman Pdf

Despite what you may have read in the popular press and in social media, Precision Medicine is not devoted to finding unique treatments for individuals, based on analyzing their DNA. To the contrary, the goal of Precision Medicine is to find general treatments that are highly effective for large numbers of individuals who fall into precisely diagnosed groups. We now know that every disease develops over time, through a sequence of defined biological steps, and that these steps may differ among individuals, based on genetic and environmental conditions. We are currently developing rational therapies and preventive measures, based on our precise understanding of the steps leading to the clinical expression of diseases. Precision Medicine and the Reinvention of Human Disease explains the scientific breakthroughs that have changed the way that we understand diseases, and reveals how medical scientists are using this new knowledge to launch a medical revolution. Clarifies the foundational concepts of Precision Medicine, distinguishing this field from its predecessors such as genomics, pharmacogenetics, and personalized medicine. Gathers the chief conceptual advances in the fields of genetics, pathology, and bioinformatics, and synthesizes a coherent narrative for the field of Precision Medicine. Delivers its message in plain language, and in a relaxed, conversational writing style, making it easy to understand the complex subject matter. Guides the reader through a coherent and logical narrative, gradually providing expertise and skills along the way. Covers the importance of data sharing in Precision Medicine, and the many data-related challenges that confront this fragile new field.

Big Data, Little Data, No Data

Christine L. Borgman
Big Data Little Data No Data Book PDF

Author : Christine L. Borgman
Publisher : MIT Press
Page : 411 pages
File Size : 49,9 Mb
Release : 2015
Category : Computers
ISBN : 9780262028561

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Big Data, Little Data, No Data by Christine L. Borgman Pdf

An examination of the uses of data within a changing knowledge infrastructure, offering analysis and case studies from the sciences, social sciences, and humanities. “Big Data” is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data—because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure—an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation—six “provocations” meant to inspire discussion about the uses of data in scholarship—Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.