Data Information Literacy

by Jake Carlson
Data Information Literacy
Author: Jake Carlson
Publisher: Purdue University Press
Total Pages: 282
Release: 2015-01-15
Genre: Language Arts & Disciplines
ISBN: 1612493521
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Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions, this book articulates a new area of opportunity for librarians and other information professionals, developing educational programs that introduce graduate students to the knowledge and skills needed to work with research data. The term "data information literacy" has been adopted with the deliberate intent of tying two emerging roles for librarians together. By viewing information literacy and data services as complementary rather than separate activities, the contributors seek to leverage the progress made and the lessons learned in each service area. The intent of the publication is to help librarians cultivate strategies and approaches for developing data information literacy programs of their own using the work done in the multiyear, IMLS-supported Data Information Literacy (DIL) project as real-world case studies. The initial chapters introduce the concepts and ideas behind data information literacy, such as the twelve data competencies. The middle chapters describe five case studies in data information literacy conducted at different institutions (Cornell, Purdue, Minnesota, Oregon), each focused on a different disciplinary area in science and engineering. They detail the approaches taken, how the programs were implemented, and the assessment metrics used to evaluate their impact. The later chapters include the "DIL Toolkit," a distillation of the lessons learned, which is presented as a handbook for librarians interested in developing their own DIL programs. The book concludes with recommendations for future directions and growth of data information literacy. More information about the DIL project can be found on the project's website: datainfolit.org.

Data Literacy in Academic Libraries

by Julia Bauder
Data Literacy in Academic Libraries
Author: Julia Bauder
Publisher: American Library Association
Total Pages: 176
Release: 2021-07-21
Genre: Language Arts & Disciplines
ISBN: 0838937500
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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.

Data Literacy

by Neil Smalheiser
Data Literacy
Author: Neil Smalheiser
Publisher: Academic Press
Total Pages: 284
Release: 2017-09-05
Genre: Science
ISBN: 0128113073
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Data Literacy: How to Make Your Experiments Robust and Reproducible provides an overview of basic concepts and skills in handling data, which are common to diverse areas of science. Readers will get a good grasp of the steps involved in carrying out a scientific study and will understand some of the factors that make a study robust and reproducible.The book covers several major modules such as experimental design, data cleansing and preparation, statistical analysis, data management, and reporting. No specialized knowledge of statistics or computer programming is needed to fully understand the concepts presented. This book is a valuable source for biomedical and health sciences graduate students andresearchers, in general, who are interested in handling data to make their research reproducibleand more efficient. - Presents the content in an informal tone and with many examples taken from the daily routine at laboratories - Can be used for self-studying or as an optional book for more technical courses - Brings an interdisciplinary approach which may be applied across different areas of sciences

The Basics of Data Literacy

by Michael Bowen
The Basics of Data Literacy
Author: Michael Bowen
Publisher:
Total Pages: 171
Release: 2014
Genre: Graphic methods
ISBN: 9781938946035
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Here's the ideal statistics book for teachers with no statistical background. Written in an informal style with easy-to-grasp examples, The Basics of Data Literacy teaches you how to help your students understand data. Then, in turn, they learn how to collect, summarize, and analyze statistics inside and outside the classroom. The books 10 succinct chapters provide an introduction to types of variables and data, ways to structure and interpret data tables, simple statistics, and survey basics from a student perspective. The appendices include hands-on activities tailored to middle and high school investigations. Because data are so central to many of the ideas in the Next Generation Science Standards, the ability to work with such information is an important science skill for both you and your students. This accessible book will help you get over feeling intimidated as your students learn to evaluate messy data on the Internet, in the news, and in future negotiations with car dealers and insurance agents.

Data Literacy

by David Herzog
Data Literacy
Author: David Herzog
Publisher: SAGE Publications
Total Pages: 240
Release: 2015-01-29
Genre: Language Arts & Disciplines
ISBN: 1483378675
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A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today’s world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.

Gender Differences in Computer and Information Literacy

by Eveline Gebhardt
Gender Differences in Computer and Information Literacy
Author: Eveline Gebhardt
Publisher: Springer
Total Pages: 73
Release: 2020-09-11
Genre: Education
ISBN: 9783030262051
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This open access book presents a systematic investigation into internationally comparable data gathered in ICILS 2013. It identifies differences in female and male students’ use of, perceptions about, and proficiency in using computer technologies. Teachers’ use of computers, and their perceptions regarding the benefits of computer use in education, are also analyzed by gender. When computer technology was first introduced in schools, there was a prevailing belief that information and communication technologies were ‘boys’ toys’; boys were assumed to have more positive attitudes toward using computer technologies. As computer technologies have become more established throughout societies, gender gaps in students’ computer and information literacy appear to be closing, although studies into gender differences remain sparse. The IEA’s International Computer and Information Literacy Study (ICILS) is designed to discover how well students are prepared for study, work, and life in the digital age. Despite popular beliefs, a critical finding of ICILS 2013 was that internationally girls tended to score more highly than boys, so why are girls still not entering technology-based careers to the same extent as boys? Readers will learn how male and female students differ in their computer literacy (both general and specialized) and use of computer technology, and how the perceptions held about those technologies vary by gender.

Research 2.0 and the Future of Information Literacy

by Tibor Koltay
Research 2.0 and the Future of Information Literacy
Author: Tibor Koltay
Publisher: Chandos Publishing
Total Pages: 192
Release: 2016-01-22
Genre: Language Arts & Disciplines
ISBN: 0081000898
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Research 2.0 and the Future of Information Literacy examines possible congruencies between information literacy and Research 2.0, because the work of today's researcher mobilizes a number of literacies. From among the various types of relevant literacies, at least three types of literacies can be mentioned in this relation: information literacy, scientific literacy and academic literacy. This book addresses these literacies in the light of the changing research landscape. Broad contexts of the researcher's abilities, as adaptive and innovative thinking, problem solving skills, self-management and design mindset are also examined. Computational thinking and the computational paradigm in a number of fields of research are taken into consideration, as well. Researchers differ to non-researchers when populating social media, which means that these two different groups require different literacies. The relationship between information literacy and information is approached in a new way. Among the multitude of issues, we introduce a new interface between information literacy and Research 2.0. It encompasses the issues of research data management and data literacy, which represent also a challenge both for the academic library and for the communities of researchers. Similarly, the questions of new metrics of scientific output are addressed in the book. - Summarizes the most important and up-to date approaches towards Research 2.0, including researchers' skills and abilities, the data-intensive paradigm of scientific research, open science, not forgetting about factors that inhibit a wider uptake of Research 2.0 - Discusses the nature of information literacy in the light of its definitions, declarations and related frameworks and by outlining the new literacies context, reading and writing, the cultural context, and the turns of library and information science - Numerous literacies, other than information literacy, its relationship to information overload and personal information management are also subject of the book - Theoretical and practical perspectives are given to enable the understanding of the transformations of information literacy and its relationship to Research 2.0

Creating Data Literate Students

by Kristin Fontichiaro
Creating Data Literate Students
Author: Kristin Fontichiaro
Publisher: Maize Books
Total Pages: 0
Release: 2017
Genre: Education
ISBN: 9781607854241
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Creating Data Literate Students provides high school librarians and educators with foundational domain knowledge to teach a new subset of information literacy skills -- data and statistical literacy, including: statistics and data comprehension; data as argument; and data visualization. Data -- both raw and displayed in visualizations -- can clarify or confuse, confirm or deny, persuade or deter. Students often learn that numbers are objective, though data in the real world is rarely so. In fact, visualized data -- even from authoritative sources -- can sometimes be anything but objective. Librarians and classroom educators need to be as fluent with quantitative data as they are with text in order to support high schoolers as they engage with data in formal and informal settings. We asked contributors to this volume -- experts in high school curriculum, information literacy and/or data literacy -- to explore the intersections between data and curriculum and identify high-impact strategies for demystifying data for educators and students alike.