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Author: Jake Carlson
Publisher: Purdue University Press
ISBN: 1612493521
Category : Language Arts & Disciplines
Languages : en
Pages : 282
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Book Description
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.
Author: Jake Carlson
Publisher: Purdue University Press
ISBN: 1612493521
Category : Language Arts & Disciplines
Languages : en
Pages : 282
Get Book Here
Book Description
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.
Author: Julia Bauder
Publisher: American Library Association
ISBN: 0838937500
Category : Language Arts & Disciplines
Languages : en
Pages : 176
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Book Description
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.
Author: Neil Smalheiser
Publisher: Academic Press
ISBN: 0128113073
Category : Science
Languages : en
Pages : 284
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Book Description
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
Author: David Herzog
Publisher: SAGE Publications
ISBN: 1483378675
Category : Language Arts & Disciplines
Languages : en
Pages : 240
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Book Description
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.
Author: Michael Bowen
Publisher:
ISBN: 9781938946035
Category : Graphic methods
Languages : en
Pages : 171
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Book Description
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.
Author: Sangeeta N. Dhamdhere
Publisher:
ISBN: 9781799830504
Category : Academic libraries
Languages : en
Pages :
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Book Description
"This book explores the application of big data in library services"--
Author: Tibor Koltay
Publisher: Chandos Publishing
ISBN: 0081000898
Category : Language Arts & Disciplines
Languages : en
Pages : 192
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Book Description
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
Author: Mary DeJong
Publisher: Bloomsbury Publishing USA
ISBN: 1440878773
Category : Language Arts & Disciplines
Languages : en
Pages : 345
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Book Description
This engaging handbook gives students and working scientists and engineers the information literacy skills they need to find, evaluate, and use information. Beginning with a strong foundation in the utility, structure, and packaging of information, this useful handbook helps students and working professionals decode real-world information literacy problems. Mary DeJong provides a compelling context and rationale for the skills scientists and engineers need to succeed in challenging careers that rely on the successful discovering and sharing of complex information. Students will appreciate the in-depth information on sources, especially those needed for research assignments, and scientists and engineers who write for publication will benefit from chapters on searching databases and organizing and citing sources. Written with science and engineering students and professionals in mind, this book is thorough, well-paced, engaging, and even funny.
Author: Amy Baldwin
Publisher:
ISBN: 9781951693169
Category :
Languages : en
Pages :
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Book Description
Author: Jannette L. Finch
Publisher:
ISBN: 9780838938942
Category : Information literacy
Languages : en
Pages : 332
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Book Description
"Data visualization--making sense of the world through images that tell a story--has a history that parallels human existence. The strength of visualization lies in its ability to reveal truth out of information that may remain hidden in lines of text, large data sets, or complex ideas. The Framework for Information Literacy for Higher Education presents complex threshold concepts, developed intentionally without prescriptive lists of skills and with flexible options for implementation, which can be explored and understood through visualization. Envisioning the Framework offers a visual opportunity for thought, discovery, and sense-making of the Framework and its concepts. Seventeen chapters packed with full-color illustrations and tables explore topics including: LibGuides creation through conceptual integration with the Framework; fostering interdisciplinary transference; the convergence of metaliteracy with the Framework; teaching multimodalities and data visualization; mapping a culturally responsive information literacy journal for international students. Chapters include content for credit-bearing information courses, one-shots, and teaching first-year students. Twenty-first-century information literacy involves the metaliterate learner, reflects seismic changes in the duties and roles of teaching librarians, requires new partnerships with faculty and instructional designers, and emphasizes continuous assessment practices. Envisioning the Framework can help you use symbols and visuals for deeper understanding of the Framework, to map the Framework with teaching and learning objectives, and to tell a coherent story to students featuring the frames and the Framework."--
