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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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The Data Book

The Data Book: Collection and Management of Research Data is the first practical book written for researchers and research team members;

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Data Collection and Management

Tired of a trial-and-error approach to collecting and managing data? Data Collection and Management offers helpful information on managing;

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iRods Primer

Policy-based data management enables the creation of community-specific collections. Every collection is created for a purpose. The purpose;

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Automation in Construction Management

construction type, project participants, and location. Modern construction management require collection, analysis and real-time communication;

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Warranty Data Collection and Analysis

with guidelines for their use in warranty management, product improvement, and new product development. Warranty Data Collection and;

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Integrated Approach to Environmental Data Management Systems

mandated international programmes and organizations to take steps to develop common data and information management plans, and steps have been;

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Big Data and Computational Intelligence in Networking

comprehensive understanding of network big data, efficient collection and management of network big data, distributed and scalable online analytics for;

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Data Collection

methods needed for data collection. It uses clear definitions, relevant interdisciplinary examples from around the world and up-to-date;

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Geomatics Solutions for Disaster Management

development in numerous areas, including data collection, information extraction and analysis, data standardization, organizational and legal aspects;

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Global Management & Geo-Spatial Information System Applications

of this book is to demonstrate the process of data collection and processing for management. This book describes suitability and how space;

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Management Of Data In Clinical Trials

, Second Edition explores data management and trial organization as the keys to developing an accurate and reliable clinical trial. With a focus on;

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Making a Collection Count

collection management, connecting collection management activities and departments, and instructs on how to gather and analyse data from each point;

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Big Data, Surveillance and Crisis Management

crisis management as an 'umbrella term' that covers a number of crises and ways of managing them, this book explores the collection of 'big data;

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Improving the Collection, Management, and Use of Marine Fisheries Data

in the Collection, Management, and Use of Fisheries Data Findings and Recommendations References Appendix A: Committee Biographies Appendix;

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Logging and Log Management

information technology professionals to the basic concepts of logging and log management. It provides tools and techniques to analyze log data and;

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Networking for Big Data

implementation for Big Data. It examines how network topology impacts data collection and explores Big Data storage and resource management;

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Networking for Big Data

implementation for Big Data. It examines how network topology impacts data collection and explores Big Data storage and resource management;

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Improving Convention Center Management Using Business Analytics and Key Performance Indicators

be difficult. This book explains the rationale and importance of each indicator along with data collection issues and presentation advice. It;

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Improving Convention Center Management Using Business Analytics and Key Performance Indicators

be difficult. This book explains the rationale and importance of each indicator along with data collection issues and presentation advice. It;

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Big Data Governance and Perspectives in Knowledge Management

economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and;

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Improving Educational Management

studies, surveys and action research, and provides a wide range of techniques for planning, data collection, data analysis and presentation;

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DAMA-DMBOK

The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective;

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Analysing Quantitative Data for Business and Management Students

by providing in-depth and practical guidance on using a chosen method of data collection or analysis.;

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Geospatial Applications for Natural Resources Management

, collection, storage, processing, modeling, interpretation, display and dissemination of spatio-temporal data, which could greatly aid with;

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Automating Quality Systems

is emphasized. Three main themes are outlined: quality systems designs and improvement, automation in data collection and quality data management using;

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Big Data in Medical Science and Healthcare Management

of networked data analysis and Big Data - for and within medical science and healthcare management. Big Data is about the collection, storage;

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