|
Showing 1 - 4 of
4 matches in All Departments
This concise sourcebook takes the guesswork out of locating the
best sources of data, a process more important than ever as the
data landscape grows increasingly cluttered. Much of the most
frequently used data can be found free online, and this book shows
readers how to look for it with the assistance of user-friendly
tools. This thoroughly annotated guide will be a boon to library
staff at public libraries, high school libraries, academic
libraries, and other research institutions, with concentrated
coverage of: Data sources for frequently researched subjects such
as agriculture, the earth sciences, economics, energy, political
science, transportation, and many more; The basics of data
reference along with an overview of the most useful sources,
focusing on free online sources of reliable statistics like
government agencies and NGOs; Statistical datasets, and how to
understand and make use of them; How to use article databases,
WorldCat, and subject experts to find data; Methods for citing
data; Survey Documentation and Analysis (SDA) software. This guide
cuts through the data jargon to help librarians and researchers
find exactly what they're looking for.
Armed with this guide's strategies and concrete examples, subject
librarians, data services librarians, and scholarly communication
librarians will be inspired to roll up their sleeves and get
involved with teaching research data management competencies to
students and faculty. The usefulness of research data management
skills bridges numerous activities, from data-driven scholarship
and open research by faculty to documentation for grant reporting.
And undergrads need a solid foundation in data management for
future academic success. This collection gathers practitioners from
a broad range of academic libraries to describe their services and
instruction around research data.
The strategies and initiatives detailed in this book will empower
data librarians, information literacy instructors, library
liaisons, and reference staff to successfully incorporate data
literacy into their work. We live in a data-driven world, much of
it processed and served up by increasingly complex algorithms, and
evaluating its quality requires its own skillset. As a component of
information literacy, it's crucial that students learn how to think
critically about statistics, data, and related visualizations.
Here, Bauder and her fellow contributors show how librarians are
helping students to access, interpret, critically assess, manage,
handle, and ethically use data. Offering readers a roadmap for
effectively teaching data literacy at the undergraduate level, this
volume explores such topics as the potential for large-scale
library/faculty partnerships to incorporate data literacy
instruction across the undergraduate curriculum; how the principles
of the ACRL Framework for Information Literacy for Higher Education
can help to situate data literacy within a broader information
literacy context; a report on the expectations of classroom faculty
concerning their students' data literacy skills; various ways that
librarians can partner with faculty; case studies of two
initiatives spearheaded by Purdue University Libraries and
University of Houston Libraries that support faculty as they
integrate more work with data into their courses; Barnard College's
Empirical Reasoning Center, which provides workshops and walk-in
consultations to more than a thousand students annually; how a
one-shot session using the PolicyMap data mapping tool can be used
to teach students from many different disciplines; diving into
quantitative data to determine the truth or falsity of potential
"fake news" claims; and a for-credit, librarian-taught course on
information dissemination and the ethical use of information.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Not available
|