Research Skills Ser.: Data Management for Researchers by Kristin Briney PB

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Artikelmerkmale

Artikelzustand
Sehr gut: Buch, das nicht neu aussieht und gelesen wurde, sich aber in einem hervorragenden Zustand ...
ISBN
9781784270117
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
PELAGIC Publishing LTD.
ISBN-10
1784270113
ISBN-13
9781784270117
eBay Product ID (ePID)
20069272351

Product Key Features

Number of Pages
250 Pages
Publication Name
Data Management for Researchers
Language
English
Publication Year
2015
Subject
Library & Information Science / Archives & Special Libraries, Research, Databases / Data Warehousing, Research & Methodology
Type
Not Available
Subject Area
Computers, Reference, Language Arts & Disciplines, Science
Author
Kristin Briney
Series
Research Skills Ser.
Format
Trade Paperback

Dimensions

Item Height
0.4 in
Item Weight
10.6 Oz
Item Length
9.2 in
Item Width
6.2 in

Additional Product Features

LCCN
2017-303204
Dewey Edition
23
Reviews
Kristin Briney's Data Management for Researchers is a book that should be on the shelf (physical or virtual) of every librarian, researcher and research administrator. Scientists, engineers, social scientists, humanists - anyone who's work involves generating and keeping track of digital data. This is the book for you. .... I recommend this book without hesitation for all academic libraries. Individual researchers, research administrators, funding agency employees and academic librarians would all find much useful information. Simply giving copy to new graduate students is probably a worthwhile investment at any institution. http://scienceblogs.com/confessions/2016/01/11/reading-diary-data-management-for-researchers-organize-maintain-and-share-your-data-for-research-success-by-kristin-briney/, ... recommended as a textbook for graduate-level research techniques courses. It's an important resource for academic and special library shelves and a vital reference for anyone working with data., Briney takes the reader through a pragmatic and sensible route through the activities of data management., Kristin Briney's Data Management for Researchers is a book that should be on the shelf (physical or virtual) of every librarian, researcher and research administrator. Scientists, engineers, social scientists, humanists -- anyone who's work involves generating and keeping track of digital data. This is the book for you. .... I recommend this book without hesitation for all academic libraries. Individual researchers, research administrators, funding agency employees and academic librarians would all find much useful information. Simply giving a copy to new graduate students is probably a worthwhile investment at any institution. http://scienceblogs.com/confessions/2016/01/11/reading-diary-data-management-for-researchers-organize-maintain-and-share-your-data-for-research-success-by-kristin-briney/, Briney has written a useful primer on data management for researchers which provides practical advice throughout on managing data. It is easy to read and clearly structured. http://www.ariadne.ac.uk/issue75/cole, Apparently, NASA lost much of the early data from space exploration, including high quality video footage of the first moon landing. All the more reason to do as it says in the sub-title to the book., For researchers and consumers of data who are often fraught with managing excess information, Briney's book offers valuable techniques, strategies and standards to help achieve proficient data management and successful outcomes. This book can be useful to both novice researchers and well-established scientists alike., I cannot recommend this slender, seemingly innocent looking book enough - it will literally change how you think about data management., Kristin Briney's Data Management for Researchers is a book that should be on the shelf (physical or virtual) of every librarian, researcher and research administrator. Scientists, engineers, social scientists, humanists - anyone who's work involves generating and keeping track of digital data. This is the book for you. .... I recommend this book without hesitation for all academic libraries. Individual researchers, research administrators, funding agency employees and academic librarians would all find much useful information. Simply giving a copy to new graduate students is probably a worthwhile investment at any institution. http://scienceblogs.com/confessions/2016/01/11/reading-diary-data-management-for-researchers-organize-maintain-and-share-your-data-for-research-success-by-kristin-briney/, Data Management for Researchers: Organize, Maintain and Share Your Data for Research Success joins others in the 'Research Skills' series with an in-depth guide to data management and manipulation created especially with the research community in mind. As digital data sources and results translate to larger chunks of data and databases available for research purposes, it becomes necessary to develop different types of data management strategies that use a researcher's structure and purposes to best advantage. Data Management for Researchers is one of the few books on the market to delve into such basics as documenting data, improving analytical approaches, assuring security for sensitive data, and backing up work. Examples and case histories pepper the approach, adding interest and real-world examples to validate the importance of the data management process in research circles. Without the proper protocols in place, data may be compromised, corrupted, or even lost - along with the PhD or study associated with it. Any serious researcher working with data must make this book a priority read., For researchers and consumers of data who are often fraught with managing excess information, Briney's book offers valuable techniques, strategies and standards to help achieve proficient data management and successful outcomes. This book can be useful to both novice researchers and well-established scientists alike. , This practical handbook can help bring new researchers quickly up-to-speed on the topic, as well as serve as a reference to meet specific data management needs they encounter throughout the data life cycle., Briney has written a useful primer on data management for researchers which provides practical advice throughout on managing data. It is easy to read and clearly structured. http://www.ariadne.ac.uk/issue75/cole
Illustrated
Yes
Dewey Decimal
001.4/20285
Intended Audience
Scholarly & Professional
Synopsis
Learning how to manage, share and preserve data is essential for active researchers. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data., 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., 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. * Analyzing your data - 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 in the long-term. * Sharing/publishing your data - the reasons for and against data sharing and some of the practical aspects of sharing. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of shared data. * Collaborations and data - this section addresses how to make data sharing across research groups easier. It covers the practical aspects of systems for collaboration as well as policy concerns like ownership. * 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.
LC Classification Number
Q180.55.E4

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