A Practical Guide to Data Processing Management PDF Download

Author: James Hannan
Publisher: Pennsauken, N.J. : Auerbach Publishers ; New York : Van Nostrand Reinhold Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 188

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Book Description

Author: John Spencer
Publisher: Wiley-Blackwell
ISBN:
Category : Electronic data processing
Languages : en
Pages : 166

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Book Description

Author: Magda Stouthamer-Loeber
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Social Science
Languages : en
Pages : 152

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Book Description
Tired of a trial-and-error approach to collecting and managing data? Data Collection and Management offers helpful information on managing research projects. By stressing how to use good standards for data collecting and processing, the authors cover such important how-tos as planning research activities; making budgetary decisions and keeping the budget under control; hiring, training, and supervising field interviewing staff; establishing whether interviewers are ready to start interviewing; and ensuring high participant acquisition and retention rates. The book also covers using computerized information systems for tracking data collected and the data management process. Proposal writers, principal investigators, graduate research students, and project coordinators of research requiring large-scale field data collection will find the book to be an indispensable tool.

Author: Margaret E. Henderson
Publisher: Rowman & Littlefield
ISBN: 144226439X
Category : Language Arts & Disciplines
Languages : en
Pages : 215

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Book Description
Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines.

Author: Margaret Hogarth
Publisher: Elsevier
ISBN: 1780633475
Category : Business & Economics
Languages : en
Pages : 579

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Book Description
Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and presentation, and offer guidelines and recommendations for a data quality policy. The book gives step-by-step how-to directions for common dirty data issues. - Focused towards libraries and practicing librarians - Deals with practical, real-life issues and addresses common problems that all libraries face - Offers cradle-to-grave treatment for preparing and using data, including download, clean-up, management, analysis and presentation

Author: Susanne Prokscha
Publisher: CRC Press
ISBN: 1439848319
Category : Computers
Languages : en
Pages : 296

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Book Description
The management of clinical data, from its collection during a trial to its extraction for analysis, has become a critical element in the steps to prepare a regulatory submission and to obtain approval to market a treatment. Groundbreaking on its initial publication nearly fourteen years ago, and evolving with the field in each iteration since then,

Author: Andrea Ahlemeyer-Stubbe
Publisher: John Wiley & Sons
ISBN: 1118763378
Category : Mathematics
Languages : en
Pages : 323

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Book Description
Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case studies to create a versatile reference book, allowing readers to look for specific methods as well as for specific applications. The book is formatted to allow statisticians, computer scientists, and economists to cross-reference from a particular application or method to sectors of interest.

Author: Susanne Prokscha
Publisher: CRC Press
ISBN: 9781574910438
Category : Medical
Languages : en
Pages : 298

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Book Description
Clinical data management (CDM) has changed from being an essentially clerical task in the late 1970s and early 1980s to a highly computerized, highly specialized field today. And clinical data manages have had to adapt their data management systems and processes accordingly. Practical Guide to Clinical Data Management steers you through a basic understanding of the role of data management in clinical trials and includes more advanced topics such as CDM systems, SOPs, and quality assurance. This book helps you ensure GCP, manage laboratory data, and deal with the kinds of clinical data that can cause difficulties in database applications. With the tools this book provides, you'll learn how to: Ensure that your DMB system is in compliance with federal regulations Build a strategic data management and databsing plan Track and record CRFs Deal with problem data, adverse event data, and legacy data Manage and store lab data Identify and manage discrepancies Ensure quality control over reports Choose a CDM system that is right for your company Create and implement a system validation plan and process Set up and enforce data collection standards Develop test plans and change control systems This book is your guide to finding the most successful and practical options for effective clinical data management.

Author: Harold Dennis Clifton
Publisher: Prentice Hall
ISBN: 9780130939630
Category : Business
Languages : en
Pages : 336

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Book Description

Author: Sholom M. Weiss
Publisher: Morgan Kaufmann
ISBN: 9781558604032
Category : Computers
Languages : en
Pages : 244

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Book Description
This book is the first technical guide to provide a complete, generalized road map for developing data-mining applications, together with advice on performing these large-scale, open-ended analyses for real-world data warehouses.