Federal Statistics, Multiple Data Sources, and Privacy Protection

Federal Statistics, Multiple Data Sources, and Privacy Protection

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  • Author: National Academies of Sciences, Engineering, and Medicine
  • Publisher: National Academies Press
  • ISBN: 0309465400
  • Category : Social Science
  • Languages : en
  • Pages : 195

The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.


Secondary Data Sources for Public Health

Secondary Data Sources for Public Health

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  • Author: Sarah Boslaugh
  • Publisher: Cambridge University Press
  • ISBN: 9781139464475
  • Category : Medical
  • Languages : en
  • Pages :

Secondary data play an increasingly important role in epidemiology and public health research and practice; examples of secondary data sources include national surveys such as the BRFSS and NHIS, claims data for the Medicare and Medicaid systems, and public vital statistics records. Although a wealth of secondary data is available, it is not always easy to locate and access appropriate data to address a research or policy question. This practical guide circumvents these difficulties by providing an introduction to secondary data and issues specific to its management and analysis, followed by an enumeration of major sources of secondary data in the United States. Entries for each data source include the principal focus of the data, years for which it is available, history and methodology of the data collection process, and information about how to access the data and supporting materials, including relevant details about file structure and format.


Directory of Transportation Data Sources (1996)

Directory of Transportation Data Sources (1996)

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  • Author: Sarah Maccalous
  • Publisher: DIANE Publishing
  • ISBN: 9780788175091
  • Category :
  • Languages : en
  • Pages : 710

Provides users of transportation statistics with a comprehensive inventory of transportation data sources to effect easier accessibility and availability of information. Listed by agency, each profile contains the name and type of the data source, mode (area of transportation relating to the source), abstract, source of data, attributes, significant features or limitations, corresponding printed source, sponsoring organization, performing organization, availability, and contact for additional information. Indexed alphabetically and by mode.


Shaping With Data: Using Pharmacoepidemiology to Shape Pharmaceutical Policy and Clinical Decision-Making

Shaping With Data: Using Pharmacoepidemiology to Shape Pharmaceutical Policy and Clinical Decision-Making

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  • Author: Mina Tadrous
  • Publisher: Frontiers Media SA
  • ISBN: 2832505910
  • Category : Science
  • Languages : en
  • Pages : 164


Practical Threat Detection Engineering

Practical Threat Detection Engineering

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  • Author: Megan Roddie
  • Publisher: Packt Publishing Ltd
  • ISBN: 1801073643
  • Category : Computers
  • Languages : en
  • Pages : 328

Go on a journey through the threat detection engineering lifecycle while enriching your skill set and protecting your organization Key Features Gain a comprehensive understanding of threat validation Leverage open-source tools to test security detections Harness open-source content to supplement detection and testing Book DescriptionThreat validation is an indispensable component of every security detection program, ensuring a healthy detection pipeline. This comprehensive detection engineering guide will serve as an introduction for those who are new to detection validation, providing valuable guidelines to swiftly bring you up to speed. The book will show you how to apply the supplied frameworks to assess, test, and validate your detection program. It covers the entire life cycle of a detection, from creation to validation, with the help of real-world examples. Featuring hands-on tutorials and projects, this guide will enable you to confidently validate the detections in your security program. This book serves as your guide to building a career in detection engineering, highlighting the essential skills and knowledge vital for detection engineers in today's landscape. By the end of this book, you’ll have developed the skills necessary to test your security detection program and strengthen your organization’s security measures.What you will learn Understand the detection engineering process Build a detection engineering test lab Learn how to maintain detections as code Understand how threat intelligence can be used to drive detection development Prove the effectiveness of detection capabilities to business leadership Learn how to limit attackers’ ability to inflict damage by detecting any malicious activity early Who this book is for This book is for security analysts and engineers seeking to improve their organization’s security posture by mastering the detection engineering lifecycle. To get started with this book, you’ll need a basic understanding of cybersecurity concepts, along with some experience with detection and alert capabilities.


Oracle Database Programming with Visual Basic.NET

Oracle Database Programming with Visual Basic.NET

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  • Author: Ying Bai
  • Publisher: John Wiley & Sons
  • ISBN: 1119734444
  • Category : Computers
  • Languages : en
  • Pages : 672

Oracle Database Programming with Visual Basic.NET Discover a detailed treatment of the practical considerations and applications of Oracle database programming with Visual Basic 2019 Oracle Database Programming with Visual Basic.NET: Concepts, Designs, and Implementations delivers a comprehensive exploration of the foundations of Oracle database programming using Visual Basic.NET. Using Visual Basic.NET 2019, Visual Studio.NET 2019, and Oracle 18c XE, the book introduces the Oracle database development system, Oracle SQL Developer and Modeler, and teaches readers how to implement a sample database solution. The distinguished author also demonstrates the use of dotConnect for Oracle to show readers how to create an effective connection to an Oracle 18c XE database. The current versions of the .NET framework, ASP.NET, and ASP.NET 4.7 are also explored and used to offer readers the most up to date web database programming techniques available today. The book provides practical example projects and detailed, line-by-line descriptions throughout to assist readers in the development of their database programming skill. Students will also benefit from the inclusion of: A thorough introduction to databases, including definitions, examples, descriptions of keys and relationships, and some database components in popular databases, like Access, SQL, and Oracle An exploration of ADO.NET, including its architecture and components, like the DataReader class, DataSet component, DataTable component, and the command and parameter classes A discussion of Language Integrated Query (LINQ), including its architecture and components, its relationship to objects, DataSet, Oracle, and Entities An explanation of how to access data in ASP.NET and ASP.NET Web Services with multiple real project examples. Perfect for college and university students taking courses related to database programming and applications, Oracle Database Programming with Visual Basic.NET will also earn a place in the libraries of programmers and software engineers seeking a comprehensive reference for database coding in Visual Basic.NET.


ColdFusion MX with Dreamweaver MX

ColdFusion MX with Dreamweaver MX

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  • Author: David Golden
  • Publisher: New Riders
  • ISBN: 9780735712713
  • Category : Computers
  • Languages : en
  • Pages : 670

Written by a leading expert, this book has everything the reader needs to know to get up-to-speed on creating ColdFusion MX Applications in Dreamweaver MX, in a no-frills, hands-on approach. It's the only book concentrating on developing ColdFusion MX with the visual tool of choice for creating ColdFusion applications: Dreamweaver MX.


Big Data Analytics

Big Data Analytics

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  • Author: Venkat Ankam
  • Publisher: Packt Publishing Ltd
  • ISBN: 1785889702
  • Category : Computers
  • Languages : en
  • Pages : 326

A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science


Bioinformatics

Bioinformatics

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  • Author: Mahmood A. Mahdavi
  • Publisher: BoD – Books on Demand
  • ISBN: 9533072822
  • Category : Computers
  • Languages : en
  • Pages : 740

Bioinformatics - Trends and Methodologies is a collection of different views on most recent topics and basic concepts in bioinformatics. This book suits young researchers who seek basic fundamentals of bioinformatic skills such as data mining, data integration, sequence analysis and gene expression analysis as well as scientists who are interested in current research in computational biology and bioinformatics including next generation sequencing, transcriptional analysis and drug design. Because of the rapid development of new technologies in molecular biology, new bioinformatic techniques emerge accordingly to keep the pace of in silico development of life science. This book focuses partly on such new techniques and their applications in biomedical science. These techniques maybe useful in identification of some diseases and cellular disorders and narrow down the number of experiments required for medical diagnostic.


Federal Information Sources & Systems

Federal Information Sources & Systems

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  • Author:
  • Publisher:
  • ISBN:
  • Category : Administrative agencies
  • Languages : en
  • Pages : 1206