Hand Book Of Data Management

Author : Andrea L. Berez-Kroeker,Bradley McDonnell,Eve Koller,Lauren B. Collister
Publisher : MIT Press
Page : 687 pages
File Size : 44,7 Mb
Release : 2022-01-18
Category : Language Arts & Disciplines
ISBN : 9780262045261

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The Open Handbook of Linguistic Data Management by Andrea L. Berez-Kroeker,Bradley McDonnell,Eve Koller,Lauren B. Collister Pdf

A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data. "Doing language science" depends on collecting, transcribing, annotating, analyzing, storing, and sharing linguistic research data. This volume offers a guide to linguistic data management, engaging with current trends toward the transformation of linguistics into a more data-driven and reproducible scientific endeavor. It offers both principles and methods, presenting the conceptual foundations of linguistic data management and a series of case studies, each of which demonstrates a concrete application of abstract principles in a current practice. In part 1, contributors bring together knowledge from information science, archiving, and data stewardship relevant to linguistic data management. Topics covered include implementation principles, archiving data, finding and using datasets, and the valuation of time and effort involved in data management. Part 2 presents snapshots of practices across various subfields, with each chapter presenting a unique data management project with generalizable guidance for researchers. The Open Handbook of Linguistic Data Management is an essential addition to the toolkit of every linguist, guiding researchers toward making their data FAIR: Findable, Accessible, Interoperable, and Reusable.

Author : Dama International
Publisher : Unknown
Page : 628 pages
File Size : 45,5 Mb
Release : 2017
Category : Database management
ISBN : 1634622340

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DAMA-DMBOK by Dama International Pdf

Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.

Author : Michael N Mitchell,Taylor & Francis Group
Publisher : Stata Press
Page : 512 pages
File Size : 44,5 Mb
Release : 2020-06-25
Category : Electronic
ISBN : 1597183180

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Data Management Using Stata by Michael N Mitchell,Taylor & Francis Group Pdf

This second edition of Data Management Using Stata focuses on tasks that bridge the gap between raw data and statistical analysis. It has been updated throughout to reflect new data management features that have been added over the last 10 years. Such features include the ability to read and write a wide variety of file formats, the ability to write highly customized Excel files, the ability to have multiple Stata datasets open at once, and the ability to store and manipulate string variables stored as Unicode. Further, this new edition includes a new chapter illustrating how to write Stata programs for solving data management tasks. As in the original edition, the chapters are organized by data management areas: reading and writing datasets, cleaning data, labeling datasets, creating variables, combining datasets, processing observations across subgroups, changing the shape of datasets, and programming for data management. Within each chapter, each section is a self-contained lesson illustrating a particular data management task (for instance, creating date variables or automating error checking) via examples. This modular design allows you to quickly identify and implement the most common data management tasks without having to read background information first. In addition to the "nuts and bolts" examples, author Michael Mitchell alerts users to common pitfalls (and how to avoid them) and provides strategic data management advice. This book can be used as a quick reference for solving problems as they arise or can be read as a means for learning comprehensive data management skills. New users will appreciate this book as a valuable way to learn data management, while experienced users will find this information to be handy and time saving--there is a good chance that even the experienced user will learn some new tricks.

Author : DAMA International
Publisher : Unknown
Page : 0 pages
File Size : 47,9 Mb
Release : 2011
Category : Database management
ISBN : 1935504126

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The DAMA Dictionary of Data Management by DAMA International Pdf

A glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the DAMA Data Management Body of Knowledge (DAMA-DMBOK). Topics include: Analytics & Data Mining Architecture Artificial Intelligence Business Analysis DAMA & Professional Development Databases & Database Design Database Administration Data Governance & Stewardship Data Management Data Modeling Data Movement & Integration Data Quality Management Data Security Management Data Warehousing & Business Intelligence Document, Record & Content Management Finance & Accounting Geospatial Data Knowledge Management Marketing & Customer Relationship Management Meta-Data Management Multi-dimensional & OLAP Normalization Object-Orientation Parallel Database Processing Planning Process Management Project Management Reference & Master Data Management Semantic Modeling Software Development Standards Organizations Structured Query Language (SQL) XML Development

Author : Martin Treder
Publisher : Apress
Page : 435 pages
File Size : 50,9 Mb
Release : 2020-10-03
Category : Mathematics
ISBN : 1484261143

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The Chief Data Officer Management Handbook by Martin Treder Pdf

There is no denying that the 21st century is data driven, with many digital industries relying on careful collection and analysis of mass volumes of information. A Chief Data Officer (CDO) at a company is the leader of this process, making the position an often daunting one. The Chief Data Officer Management Handbook is here to help. With this book, author Martin Treder advises CDOs on how to be better prepared for their swath of responsibilities, how to develop a more sustainable approach, and how to avoid the typical pitfalls. Based on positive and negative experiences shared by current CDOs, The Chief Data Officer Management Handbook guides you in designing the ideal structure of a data office, implementing it, and getting the right people on board. Important topics such as the data supply chain, data strategy, and data governance are thoughtfully covered by Treder. As a CDO it is important to use your position effectively with your entire team. The Chief Data Officer Management Handbook allows all employees to take ownership in data collaboration. Data is the foundation of present and future tech innovations, and you could be the leader that makes the next big impact. What You Will Learn Apply important elements of effective data management Gain a comprehensive overview of all areas of data (which are often managed independently Work with the data supply chain, from data acquisition to its usage, a review of all relevant stakeholders, data strategy, and data governance Who This Book is For CDOs, data executives, data advisors, and all professionals looking to understand about how a data office functions in an organization.

Author : Bhavani M. Thuraisingham
Publisher : Auerbach Publications
Page : 440 pages
File Size : 45,9 Mb
Release : 1997-06
Category : Business & Economics
ISBN : 0791327728

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Handbook of Data Management 96/97 Yearbook by Bhavani M. Thuraisingham Pdf

Author : Susanne Prokscha
Publisher : CRC Press
Page : 296 pages
File Size : 50,9 Mb
Release : 2011-10-26
Category : Computers
ISBN : 9781439848319

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Practical Guide to Clinical Data Management by Susanne Prokscha Pdf

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 : Michael Gertz,Sushil Jajodia
Publisher : Springer Science & Business Media
Page : 579 pages
File Size : 52,9 Mb
Release : 2007-12-03
Category : Computers
ISBN : 9780387485331

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Handbook of Database Security by Michael Gertz,Sushil Jajodia Pdf

Handbook of Database Security: Applications and Trends provides an up-to-date overview of data security models, techniques, and architectures in a variety of data management applications and settings. In addition to providing an overview of data security in different application settings, this book includes an outline for future research directions within the field. The book is designed for industry practitioners and researchers, and is also suitable for advanced-level students in computer science.

Author : Kristin Briney
Publisher : Pelagic Publishing Ltd
Page : 312 pages
File Size : 47,5 Mb
Release : 2015-09-01
Category : Computers
ISBN : 9781784270131

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Data Management for Researchers by Kristin Briney Pdf

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

Author : Sanjiv Purba
Publisher : Unknown
Page : 128 pages
File Size : 51,8 Mb
Release : 2024-06-30
Category : Electronic
ISBN : 8130903083

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Handbook Of Data Management by Sanjiv Purba Pdf

Author : Magda Stouthamer-Loeber,Welmoet Bok van Kammen
Publisher : SAGE Publications, Incorporated
Page : 152 pages
File Size : 53,8 Mb
Release : 1995-08-08
Category : Social Science
ISBN : UOM:39015037863688

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Data Collection and Management by Magda Stouthamer-Loeber,Welmoet Bok van Kammen Pdf

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 : Connie Clare,Maria Cruz,Elli Papadopoulou,James Savage,Marta Teperek,Yan Wang,Iza Witkowska,Joanne Yeomans
Publisher : Open Book Publishers
Page : 139 pages
File Size : 45,5 Mb
Release : 2019-10-09
Category : Computers
ISBN : 9781783748006

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Engaging Researchers with Data Management: The Cookbook by Connie Clare,Maria Cruz,Elli Papadopoulou,James Savage,Marta Teperek,Yan Wang,Iza Witkowska,Joanne Yeomans Pdf

Effective Research Data Management (RDM) is a key component of research integrity and reproducible research, and its importance is increasingly emphasised by funding bodies, governments, and research institutions around the world. However, many researchers are unfamiliar with RDM best practices, and research support staff are faced with the difficult task of delivering support to researchers across different disciplines and career stages. What strategies can institutions use to solve these problems? Engaging Researchers with Data Management is an invaluable collection of 24 case studies, drawn from institutions across the globe, that demonstrate clearly and practically how to engage the research community with RDM. These case studies together illustrate the variety of innovative strategies research institutions have developed to engage with their researchers about managing research data. Each study is presented concisely and clearly, highlighting the essential ingredients that led to its success and challenges encountered along the way. By interviewing key staff about their experiences and the organisational context, the authors of this book have created an essential resource for organisations looking to increase engagement with their research communities. This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.

Author : Nils B. Weidmann
Publisher : Cambridge University Press
Page : 243 pages
File Size : 55,6 Mb
Release : 2023-03-09
Category : Social Science
ISBN : 9781108997461

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Data Management for Social Scientists by Nils B. Weidmann Pdf

The 'data revolution' offers many new opportunities for research in the social sciences. Increasingly, social and political interactions can be recorded digitally, leading to vast amounts of new data available for research. This poses new challenges for organizing and processing research data. This comprehensive introduction covers the entire range of data management techniques, from flat files to database management systems. It demonstrates how established techniques and technologies from computer science can be applied in social science projects, drawing on a wide range of different applied examples. This book covers simple tools such as spreadsheets and file-based data storage and processing, as well as more powerful data management software like relational databases. It goes on to address advanced topics such as spatial data, text as data, and network data. This book is one of the first to discuss questions of practical data management specifically for social science projects. This title is also available as Open Access on Cambridge Core.

Author : MARK. ELSLEY
Publisher : Unknown
Page : 46 pages
File Size : 42,9 Mb
Release : 2017
Category : Electronic
ISBN : 191205521X

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A Guide to GCP for Clinical Data Management by MARK. ELSLEY Pdf

Author : Sanjiv Purba
Publisher : CRC Press
Page : 1050 pages
File Size : 48,6 Mb
Release : 2021-12-24
Category : Computers
ISBN : 9781000083217

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Handbook of Data Management 1999 Edition by Sanjiv Purba Pdf

Written by leading industry experts, the Data Management Handbook is a comprehensive, single-volume guide to the most innovative ideas on how to plan, develop, and run a powerful data management function - as well as handle day-to-day operations. The book provides practical, hands-on guidance on the strategic, tactical, and technical aspects of dat