Developing a Data Dictionary System
Author: J. A. Van Duyn
Publisher: Prentice Hall
Published: 1982
Total Pages: 230
ISBN-13:
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Author: J. A. Van Duyn
Publisher: Prentice Hall
Published: 1982
Total Pages: 230
ISBN-13:
DOWNLOAD EBOOKAuthor: Charles J. Wertz
Publisher: Wellesley, MA : QED Information Services
Published: 1986
Total Pages: 312
ISBN-13:
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Published: 1987
Total Pages:
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DOWNLOAD EBOOKAuthor: Rom Narayan
Publisher: Englewood Cliffs, N.J. : Prentice Hall
Published: 1988
Total Pages: 472
ISBN-13:
DOWNLOAD EBOOKAuthor: Jeffrey W. Foley
Publisher:
Published: 1986
Total Pages: 195
ISBN-13:
DOWNLOAD EBOOKThe project involved the design and implementation of a data dictionary system in a distributed development environment. The distributed environment consists of a central computer that hosts a database management system, a conglomerate of workstations, and the communications links between the workstations and central computer. The emphasis of the research was placed on the design of a user-friendly data dictionary editor that was implemented on a prototype workstation. Data dictionary definitions are created and updated at the workstation and transfered between the workstation and central computer database. Background information is provided on data dictionary systems, aspects of human-computer interfaces, and distributed environment interface issues. The design and development of the special editor and the database interface software are described in detail in this thesis.
Author: Paul Beynon-Davies
Publisher: Macmillan Pub Limited
Published: 2002
Total Pages: 595
ISBN-13: 9780333963906
DOWNLOAD EBOOKThis text combines strong theoretical and foundational concepts with a practical real world approach. Grounded in a strong European perspective, it provides balanced and integrative coverage of the full range of interdisciplinary issues within IS, including development, management, environment and technology. It is suitable for both undergraduate and postgraduate students of information systems with a basic knowledge of information technology.
Author: Christos Drakoulis
Publisher:
Published: 1985
Total Pages: 101
ISBN-13:
DOWNLOAD EBOOKAlthough data resources have some characteristics with other corporate resources, such as people, goods or money, they do not have two specific characteristics. They are not relatively scarce, neither are they inherently allocatable. However, they do have value, both positive or negative. The value is derived from the fact that the entire enterprise depends on their availability for the proper management of all the other resources. Organizations are now beginning to treat data as a resource, which requires the same degree of administration and control as is involved in the management of other resources. A key component in this management and control is the Data Dictionary/Directory System. It is a useful tool, throughout a System Development Life Cycle.
Author: Agency for Healthcare Research and Quality/AHRQ
Publisher: Government Printing Office
Published: 2014-04-01
Total Pages: 385
ISBN-13: 1587634333
DOWNLOAD EBOOKThis User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author: Kristoffer Bjärkefur
Publisher: World Bank Publications
Published: 2021-07-16
Total Pages: 388
ISBN-13: 1464816956
DOWNLOAD EBOOKDevelopment Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University
Author: Saeed K. Rahimi
Publisher: John Wiley & Sons
Published: 2015-02-13
Total Pages: 692
ISBN-13: 1118043537
DOWNLOAD EBOOKThis book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.