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Planning For Data Management Systems


Planning For Data Management Systems
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Planning For Data Management Systems


Planning For Data Management Systems
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Author : South Alabama Regional Planning Commission
language : en
Publisher:
Release Date : 1974

Planning For Data Management Systems written by South Alabama Regional Planning Commission and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1974 with Information storage and retrieval systems categories.




Data Base Management


Data Base Management
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Author : Fred R. McFadden
language : en
Publisher: Benjamin-Cummings Publishing Company
Release Date : 1988

Data Base Management written by Fred R. McFadden and has been published by Benjamin-Cummings Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Data base management categories.


Basic concepts: The data base environment; Data concepts and characteristics; Data base planning; Data base architecture: Physical data organization; Data structures; Data models; Data base design and administration: Introduction to data base design; Conceptual design; Data base administration; Data management systems; Hierarchical data base systems; Network and CODASYL Implementations; Relational implementations on mainframes: SQL, INGRES, and Others; Relational implementations on personal computers; Advanced opportunities in data base management.



Data Management Systems For Water Resources Planning


Data Management Systems For Water Resources Planning
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Author : Darryl W. Davis
language : en
Publisher:
Release Date : 1981*

Data Management Systems For Water Resources Planning written by Darryl W. Davis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981* with Water resources development categories.


Water resources planning at the federal level is comprehensive multi-purpose multi-objective planning. The increasing complexity of issues, planning alternatives, and evaluation criteria have spawned an ever growing need for increased data and associated analysis procedures. The increased number of such models, both demanding and generating large amounts of data, have stimulated awareness of the need for planning oriented data management systems. This paper describes recent activities of the Corps of Engineers Hydrologic Engineering Center in data management for water resources planning studies.



Archived Data Management Systems


Archived Data Management Systems
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Author :
language : en
Publisher:
Release Date : 2005

Archived Data Management Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Information storage and retrieval systems categories.




General Purpose Data Management Systems For Administrative And For Socioeconomic Planning And Analysis


General Purpose Data Management Systems For Administrative And For Socioeconomic Planning And Analysis
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Author : Emory W. Franks
language : en
Publisher:
Release Date : 1966

General Purpose Data Management Systems For Administrative And For Socioeconomic Planning And Analysis written by Emory W. Franks and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Management information systems categories.




Data Management For Researchers


Data Management For Researchers
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Author : Kristin Briney
language : en
Publisher: Pelagic Publishing Ltd
Release Date : 2015-09-01

Data Management For Researchers written by Kristin Briney and has been published by Pelagic Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-01 with Computers categories.


A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: * The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. * The data lifecycle – a framework for data’s place within the research process and how data’s role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. * Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. * Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. * Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. * Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. * Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. * Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. * Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. * Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. * Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation. "An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline." —Robert Buntrock, Chemical Information Bulletin



Strategic Data Planning


Strategic Data Planning
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Author : Dale L. Goodhue
language : en
Publisher:
Release Date : 2015-08-05

Strategic Data Planning written by Dale L. Goodhue and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-05 with Business & Economics categories.


Excerpt from Strategic Data Planning: Lessons From the Field Many large organizations today are finding that even if they can access data from multiple functions, the lack of logical data integration (common data definitions and codes) across information systems makes it difficult or impossible to answer cross-functional or cross-divisional questions. This reduces their ability to take advantage of potential opportunities or respond to business problems. Strategic Data Planning is one methodology which can address such problems, within the general umbrella of information engineering. Resting on the assumption that a relatively stable group of data entities lies at the center of an organization's information processing needs, SDP is a formalized, top-down, data-centered planning approach that builds a model of the enterprise, its functions, and its underlying data as a basis for identifying and implementing an integrated set of information systems. In spite of strong conceptual arguments for the value of the SDP approach and its use in many organizations, empirical researchers have failed to find clear-cut evidence of its general success. This raises the question of whether the approach is universally appropriate. If success is somewhat problematic, are there lessons that can be drawn from actual organizational experience? The purpose of this paper is to report the results of a series of case studies of SDP efforts, to offer insights on the conditions under which SDP is most effective, and to propose directions for future research. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.



Big Data Support Of Urban Planning And Management


Big Data Support Of Urban Planning And Management
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Author : Zhenjiang Shen
language : en
Publisher: Springer
Release Date : 2017-09-26

Big Data Support Of Urban Planning And Management written by Zhenjiang Shen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-26 with Business & Economics categories.


In the era of big data, this book explores the new challenges of urban-rural planning and management from a practical perspective based on a multidisciplinary project. Researchers as contributors to this book have accomplished their projects by using big data and relevant data mining technologies for investigating the possibilities of big data, such as that obtained through cell phones, social network systems and smart cards instead of conventional survey data for urban planning support. This book showcases active researchers who share their experiences and ideas on human mobility, accessibility and recognition of places, connectivity of transportation and urban structure in order to provide effective analytic and forecasting tools for smart city planning and design solutions in China.



Management Information Systems


Management Information Systems
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Author : Sherman C. Blumenthal
language : en
Publisher:
Release Date : 1969

Management Information Systems written by Sherman C. Blumenthal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1969 with Management information systems categories.




Guideline For Planning And Management Of Database Applications


Guideline For Planning And Management Of Database Applications
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Author : United States. National Bureau of Standards
language : en
Publisher:
Release Date : 1980

Guideline For Planning And Management Of Database Applications written by United States. National Bureau of Standards and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with Computer programming categories.