Data management

About: Data management is a research topic. Over the lifetime, 31574 publications have been published within this topic receiving 424326 citations.

Centralized configuration data management for distributed clients

Abstract: System and method for managing a plurality of clients A request to implement a change in configuration data is received from a user The configuration data relates to an operation of a client The received request is stored in a memory area Computer-executable instructions request topology data from the memory area based on the configuration data to identify the client The requested topology data is received from the memory area Computer-executable instructions identify a notification service associated with the client and notify the identified notification service of the change in the configuration data

R in Action

Abstract: SummaryR in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R. About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data. About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. What's InsidePractical data analysis, step by step Interfacing R with other software Using R to visualize data Over 130 graphs Eight reference appendixes================================ Table of ContentsPart I Getting started Introduction to R Creating a dataset Getting started with graphs Basic data management Advanced data management Part II Basic methods Basic graphs Basic statistics Part III Intermediate methods Regression Analysis of variance Power analysis Intermediate graphs Re-sampling statistics and bootstrapping Part IV Advanced methods Generalized linear models Principal components and factor analysis Advanced methods for missing data Advanced graphics

Research Methods in Public Administration and Public Management: An Introduction

Abstract: Research in Public Administration and Public Management has distinctive features that influence the choices and application of research methods. The standard methodologies for researching from the social sciences can be difficult to follow in the complex world of the public sector. In a dynamic political context, the focus lies on solving societal problems whilst also using methodological principles to do scientifically sound research. The second edition of Research Methods in Public Administration and Public Management represents a comprehensive guide to undertaking and using research in Public Management and Administration. It is succinct but covers a wide variety of research strategies, including action research, experiments, case studies, desk research, systematic literature reviews and more. It pays attention to issues of design, sampling, research ethics and data management. This textbook does explain the role of theory, but also offers many international examples and practical exercises. It takes the reader through the journey of research, starting with the problem definition, choice of theory, research design options and tools to achieve impactful research. New and revised material includes, but is not limited to: A closer look at popular methods like the experiment and the systematic literature review; A deeper examination of research ethics and data management; New examples from a wide range of countries; Updated ‘Further Reading’ material and additional useful websites. This exciting new edition will be core reading for students at all levels as well as practitioners who are carrying out research on Public Management and Administration.

Methods and systems for facilitating personal data propagation

Abstract: Methods and systems for facilitating the propagation of personal data are provided. Example embodiments provide a Personal Data Propagation Environment (“PDP environment”), which facilitates the propagation of personal data items between secure personal data stores and various consumers of the personal data items. In one embodiment, the PDP environment includes a personal data manager and a personal data subscriber. The personal data manager manages personal data items on a secure data store associated with a user computing device. The personal data manager provides access to personal data items stored on the secure data store in accordance with a personal data subscription associated with the personal data subscriber. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.

Development of public toxicogenomics software for microarray data management and analysis.

Abstract: A robust bioinformatics capability is widely acknowledged as central to realizing the promises of toxicogenomics. Successful application of toxicogenomic approaches, such as DNA microarray, inextricably relies on appropriate data management, the ability to extract knowledge from massive amounts of data and the availability of functional information for data interpretation. At the FDA's National Center for Toxicological Research (NCTR), we are developing a public microarray data management and analysis software, called ArrayTrack. ArrayTrack is Minimum Information About a Microarray Experiment (MIAME) supportive for storing both microarray data and experiment parameters associated with a toxicogenomics study. A quality control mechanism is implemented to assure the fidelity of entered expression data. ArrayTrack also provides a rich collection of functional information about genes, proteins and pathways drawn from various public biological databases for facilitating data interpretation. In addition, several data analysis and visualization tools are available with ArrayTrack, and more tools will be available in the next released version. Importantly, gene expression data, functional information and analysis methods are fully integrated so that the data analysis and interpretation process is simplified and enhanced. ArrayTrack is publicly available online and the prospective user can also request a local installation version by contacting the authors.