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Books > Reference & Interdisciplinary > Communication studies > Research methods
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Data Management for Researchers - Organize, maintain and share your data for research success (Paperback)
Loot Price: R865
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Data Management for Researchers - Organize, maintain and share your data for research success (Paperback)
Series: Research Skills
Expected to ship within 12 - 17 working days
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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
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