Data information literacy Librarians, data, and the education of a new generation of researchers
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...
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| Médium: | E-kniha Kniha |
| Jazyk: | angličtina |
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West Lafayette, Ind
Purdue Univ. Press
2015
Purdue University Press |
| Vydání: | 1 |
| Edice: | Purdue Information Literacy Handbooks |
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| ISBN: | 9781612493527, 9781557536969, 1612493513, 9781612493510, 1612493521, 1557536961, 9781557538987, 1557538980 |
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| Abstract | 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. |
|---|---|
| AbstractList | The book lays out the history of diversity in the veterinary profession, in the context of historical changes and actions within US society. An overview of selected strategies from dental, pharmacy, and (human) medical schools is then offered. The impact of social constructs on career interest development is explored using the examples of race, gender, sexual orientation, and gender identity. Practical strategies for attracting preschool through undergraduate students to careers in the veterinary profession are presented, as well as metrics and tools to assess the impact of diversity and inclusiveness strategies. A systems approach to diversity and inclusiveness in the veterinary profession is called for in a manner that frames barriers as opportunities for improvement and progress. There is much that needs to happen to achieve professional inclusiveness and cultural competency, but the path to achieving this is clear. System-wide commitment, planning, execution, and continuous assessment will position the profession to better suit the population of the nation and the world that will be served. This book is a call to action for consistent championship and cohesive approaches, and it provides a road map to building a sustainably inclusive future. 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?. 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 programmes 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 programmes 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 programmes 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 programmes. The book concludes with recommendations for future directions and growth of data information literacy. 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. 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. 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. 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 literacyâ€? 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. 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 | Carlson, Jake Johnston, Lisa (Lisa R.) |
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| Copyright | 2015 Lisa R. Johnston 2015 Jake Carlson https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode |
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| Notes | Includes bibliographical references and index Relevant Wikipedia pages: Academic personnel - https://en.wikipedia.org/wiki/Academic_personnel; Data management - https://en.wikipedia.org/wiki/Data_management; EPICS - https://en.wikipedia.org/wiki/EPICS; Graduate school - https://en.wikipedia.org/wiki/Graduate_school; Information literacy - https://en.wikipedia.org/wiki/Information_literacy; Metadata - https://en.wikipedia.org/wiki/Metadata; Postgraduate education - https://en.wikipedia.org/wiki/Postgraduate_education MODID-fb1364e0415:Purdue University Press MODID-5bfd471c321:KU Select 2016 Backlist MODID-00000000488:Knowledge Unlatched |
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| Snippet | The book lays out the history of diversity in the veterinary profession, in the context of historical changes and actions within US society. An overview of... Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data... |
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| SubjectTerms | Academic librarians Academic librarians -- Effect of technological innovations on Academic libraries Academic libraries -- Relations with faculty and curriculum -- United States -- Case studies Academic libraries -- Services to graduate students Academic personnel Archivierung Beziehung Bibliothekswissenschaft Case studies Collection Development Curriculum Cyberinfrastructure Cyberspace Data management Data processing Data science and analysis: general Database management Daten Datensammlung Dienstleistung Digital & Online Resources Digital preservation Effect of technological innovations on Effekt Electronic information resource literacy Electronic information resource literacy -- Study and teaching (Higher) Entwicklung EPICS Fachbereich Fallstudie Forschung Graduate school Hochschulbibliothek Information literacy Information literacy -- Study and teaching (Higher) Information Science Informationskompetenz Informationswissenschaft Infrastruktur LANGUAGE ARTS & DISCIPLINES LANGUAGE ARTS & DISCIPLINES / Library & Information Science / Collection Development.-bisacsh LANGUAGE ARTS & DISCIPLINES / Library & Information Science / General.-bisacsh Lehren Library & Information Science Library Science Management Metadata Postgraduate education Reference, Information and Interdisciplinary subjects Relations with faculty and curriculum Research -- Data processing -- Management Research and information: general Science Science -- Data processing -- Management Services to graduate students Sprachkultur Student Studium Study and teaching (Higher) Technische Innovation United States USA Wissenschaft Wissenschaftsdisziplin |
| Subtitle | Librarians, data, and the education of a new generation of researchers |
| TableOfContents | Front Matter
Table of Contents
FOREWORD
PREFACE
INTRODUCTION
CHAPTER 1: DETERMINING DATA INFORMATION LITERACY NEEDS:
CHAPTER 2: DEVELOPING THE DATA INFORMATION LITERACY PROJECT:
CHAPTER 3: AN EXPLORATION OF THE DATA INFORMATION LITERACY COMPETENCIES:
CHAPTER 4: DEVELOPING A FOR-CREDIT COURSE TO TEACH DATA INFORMATION LITERACY SKILLS:
CHAPTER 5: ADDRESSING SOFTWARE CODE AS DATA:
CHAPTER 6: TEACHING DATA INFORMATION LITERACY SKILLS IN A LIBRARY WORKSHOP SETTING:
CHAPTER 7: TEACHING CIVIL ENGINEERING DATA INFORMATION LITERACY SKILLS:
CHAPTER 8: TEACHING ECOLOGY DATA INFORMATION LITERACY SKILLS TO GRADUATE STUDENTS:
CHAPTER 9: DEVELOPING DATA INFORMATION LITERACY PROGRAMS:
CHAPTER 10: WHERE DO WE GO FROM HERE?
CHAPTER 11: FUTURE DIRECTIONS FOR DATA INFORMATION LITERACY:
CONTRIBUTORS
INDEX
Back Matter Cover Title Page, Copyright Page Contents Foreword Preface Introduction Part I: Making the Case for Data Information Literacy Chapter 1: Determining Data Information Literacy Needs: A Study of Students and Research Faculty Chapter 2: Developing the Data Information Literacy Project: Approach and Methodology Chapter 3: An Exploration of the Data Information Literacy Competencies: Findings From the Project Interviews Part II: Data Information Literacy Case Studies Chapter 4: Developing a for-Credit Course to Teach Data Information Literacy Skills: A Case Study in Natural Resources Chapter 5: Addressing Software Code as Data: An Embedded Librarian Approach Chapter 6: Teaching Data Information Literacy Skills in a Library Workshop Setting: A Case Study in Agricultural and Biological Engineering Chapter 7: Teaching Civil Engineering Data Information Literacy Skills: An E-Learning Approach Chapter 8: Teaching Ecology Data Information Literacy Skills to Graduate Students: A Discussion-Based Approach Part III: Moving Forward Chapter 9: Developing Data Information Literacy Programs: A Guide for Academic Librarians Chapter 10: Where Do We Go From Here?: Further Developing the Data Information Literacy Competencies Chapter 11: Future Directions for Data Information Literacy: Growing Programs and Communities of Practice Contributors Index Cover -- Copyright -- Contents -- Foreword -- Preface -- Introduction -- Part I: Making the Case for Data Information Literacy -- Chapter 1: Determining Data Information Literacy Needs: A Study of Students and Research Faculty -- Chapter 2: Developing the Data Information Literacy Project: Approach and Methodology -- Chapter 3: An Exploration of the Data Information Literacy Competencies: Findings From the Project Interviews -- Part II: Data Information Literacy Case Studies -- Chapter 4: Developing a for-Credit Course to Teach Data Information Literacy Skills: A Case Study in Natural Resources -- Chapter 5: Addressing Software Code as Data: An Embedded Librarian Approach -- Chapter 6: Teaching Data Information Literacy Skills in a Library Workshop Setting: A Case Study in Agricultural and Biological Engineering -- Chapter 7: Teaching Civil Engineering Data Information Literacy Skills: An E-Learning Approach -- Chapter 8: Teaching Ecology Data Information Literacy Skills to Graduate Students: A Discussion-Based Approach -- Part III: Moving Forward -- Chapter 9: Developing Data Information Literacy Programs: A Guide for Academic Librarians -- Chapter 10: Where Do We Go From Here?: Further Developing the Data Information Literacy Competencies -- Chapter 11: Future Directions for Data Information Literacy: Growing Programs and Communities of Practice -- Contributors -- Index |
| Title | Data information literacy |
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