Hands On Data Science For Librarians
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Hands On Data Science For Librarians
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Author : Sarah Lin
language : en
Publisher: CRC Press
Release Date : 2023-05-09
Hands On Data Science For Librarians written by Sarah Lin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-09 with Business & Economics categories.
Librarians understand the need to store, use and analyze data related to their collection, patrons and institution, and there has been consistent interest over the last 10 years to improve data management, analysis, and visualization skills within the profession. However, librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping, working with maps, creating interactive reports, machine learning, and others. While there’s a place for theory, ethics, and statistical methods, librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work, no matter what type of library they work at (academic, public or special). By walking through each skill and its application to library work before walking the reader through each line of code, this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public, academic or special) as well as graduate students in library and information science (LIS). Key Features: Only data science book available geared toward librarians that includes step-by-step code examples Examples include all library types (public, academic, special) Relevant datasets Accessible to non-technical professionals Focused on job skills and their applications
Data Science For Librarians
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Author : Yunfei Du
language : en
Publisher: Bloomsbury Publishing USA
Release Date : 2020-03-26
Data Science For Librarians written by Yunfei Du and has been published by Bloomsbury Publishing USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-26 with Language Arts & Disciplines categories.
This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries. Data Science for Librarians introduces data science to students and practitioners in library services. Writing for academic, public, and school library managers; library science students; and library and information science educators, authors Yunfei Du and Hammad Rauf Khan provide a thorough overview of conceptual and practical tools for data librarian practice. Partially due to how quickly data science evolves, libraries have yet to recognize core competencies and skills required to perform the job duties of a data librarian. As society transitions from the information age into the era of big data, librarians and information professionals require new knowledge and skills to stay current and take on new job roles, such as data librarianship. Such skills as data curation, research data management, statistical analysis, business analytics, visualization, smart city data, and learning analytics are relevant in library services today and will become increasingly so in the near future. This text serves as a tool for library and information science students and educators working on data science curriculum design.
Handbook Of Research On Academic Libraries As Partners In Data Science Ecosystems
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Author : Mani, Nandita S.
language : en
Publisher: IGI Global
Release Date : 2022-05-06
Handbook Of Research On Academic Libraries As Partners In Data Science Ecosystems written by Mani, Nandita S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-06 with Language Arts & Disciplines categories.
Beyond providing space for data science activities, academic libraries are often overlooked in the data science landscape that is emerging at academic research institutions. Although some academic libraries are collaborating in specific ways in a small subset of institutions, there is much untapped potential for developing partnerships. As library and information science roles continue to evolve to be more data-centric and interdisciplinary, and as research using a variety of data types continues to proliferate, it is imperative to further explore the dynamics between libraries and the data science ecosystems in which they are a part. The Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems provides a global perspective on current and future trends concerning the integration of data science in libraries. It provides both a foundational base of knowledge around data science and explores numerous ways academicians can reskill their staff, engage in the research enterprise, contribute to curriculum development, and help build a stronger ecosystem where libraries are part of data science. Covering topics such as data science initiatives, digital humanities, and student engagement, this book is an indispensable resource for librarians, information professionals, academic institutions, researchers, academic libraries, and academicians.
Practical Data Science For Information Professionals
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Author : David Stuart
language : en
Publisher: Facet Publishing
Release Date : 2020-07-24
Practical Data Science For Information Professionals written by David Stuart and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-24 with Language Arts & Disciplines categories.
Practical Data Science for Information Professionals provides an accessible introduction to a potentially complex field, providing readers with an overview of data science and a framework for its application. It provides detailed examples and analysis on real data sets to explore the basics of the subject in three principle areas: clustering and social network analysis; predictions and forecasts; and text analysis and mining. As well as highlighting a wealth of user-friendly data science tools, the book also includes some example code in two of the most popular programming languages (R and Python) to demonstrate the ease with which the information professional can move beyond the graphical user interface and achieve significant analysis with just a few lines of code. After reading, readers will understand: · the growing importance of data science · the role of the information professional in data science · some of the most important tools and methods that information professionals can use. Bringing together the growing importance of data science and the increasing role of information professionals in the management and use of data, Practical Data Science for Information Professionals will provide a practical introduction to the topic specifically designed for the information community. It will appeal to librarians and information professionals all around the world, from large academic libraries to small research libraries. By focusing on the application of open source software, it aims to reduce barriers for readers to use the lessons learned within.
Data Literacy In Academic Libraries
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Author : Julia Bauder
language : en
Publisher: American Library Association
Release Date : 2021-07-21
Data Literacy In Academic Libraries written by Julia Bauder and has been published by American Library Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-21 with Language Arts & Disciplines categories.
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.
Digital Libraries The Era Of Big Data And Data Science
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Author : Michelangelo Ceci
language : en
Publisher: Springer Nature
Release Date : 2020-01-22
Digital Libraries The Era Of Big Data And Data Science written by Michelangelo Ceci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-22 with Computers categories.
This book constitutes the thoroughly refereed proceedings of the 16th Italian Research Conference on Digital Libraries, IRCDL 2020, held in Bari, Italy, in January 2020. The 12 full papers and 6 short papers presented were carefully selected from 26 submissions. The papers are organized in topical sections on information retrieval, bid data and data science in DL; cultural heritage; open science.
The Medical Library Association Guide To Data Management For Librarians
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Author : Lisa Federer
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2016-09-15
The Medical Library Association Guide To Data Management For Librarians written by Lisa Federer and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-15 with Language Arts & Disciplines categories.
Technological advances and the rise of collaborative, interdisciplinary approaches have changed the practice of research. The 21st century researcher not only faces the challenge of managing increasingly complex datasets, but also new data sharing requirements from funders and journals. Success in today’s research enterprise requires an understanding of how to work effectively with data, yet most researchers have never had any formal training in data management. Libraries have begun developing services and programs to help researchers meet the demands of the data-driven research enterprise, giving librarians exciting new opportunities to use their expertise and skills. The Medical Library Association Guide to Data Management for Librarians highlights the many ways that librarians are addressing researchers’ changing needs at a variety of institutions, including academic, hospital, and government libraries. Each chapter ends with “pearls of wisdom,” a bulleted list of 5-10 takeaway messages from the chapter that will help readers quickly put the ideas from the chapter into practice. From theoretical foundations to practical applications, this book provides a background for librarians who are new to data management as well as new ideas and approaches for experienced data librarians.
Science Libraries In The Self Service Age
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Author : Alvin Hutchinson
language : en
Publisher: Chandos Publishing
Release Date : 2018-11-27
Science Libraries In The Self Service Age written by Alvin Hutchinson and has been published by Chandos Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Language Arts & Disciplines categories.
Science Libraries in the Self Service Age: Developing New Services, Targeting New Users suggests ways in which libraries can remain relevant to their institution. This book describes the myriad of new services and user communities which science librarians have recently incorporated into their routines. Where applicable, the book focuses on both researcher needs and the simple economics that emphasize the need for new service development. Science librarians will have to adapt to changing behaviors and needs if they want to remain a part of their organization's future. As this trend has hastened science librarians to develop new services, many of them aimed at audiences or user groups which had not typically used the library, this book provides timely tactics on which to build a cohesive plan. - Provides a list of practical, targeted services which science librarians can implement - Presents unified topics previously only dealt with separately (data management services, scholarly communication, digital preservation, etc.) - Considers economic and resource issues in developing new services - Written by an experienced librarian at a global institution
Exploring New Roles For Librarians
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Author : Lisa Federer
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Exploring New Roles For Librarians written by Lisa Federer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Mathematics categories.
Librarians have been providing support to researchers for many years, typically with a focus on responding to researchers’ needs for access to the existing literature. However, librarians’ skills and expertise make them uniquely suited to provide a wide range of assistance to researchers across the entire research process, from conception of the research question to archiving of collected data at the project’s conclusion. In response to increasingly stringent demands on researchers to share their data, and as computationally intensive and primarily data-driven scientific methods begin to take the place of traditional lab-based research, the “research informationist” has emerged as a new information profession. With a background in library and information sciences, as well as expertise in best practices for data management, grant funder policies, and informatics tools, the research informationist is capable of implementing a full suite of research support services. This book will discuss how the research informationist role has developed out of the previously established clinical informationist model and how it expands on the model of embedded librarianship. The book will also examine core competencies for the successful research informationist and the training and preparation necessary for students in library and information sciences programs, as well as currently practicing librarians. Finally, this book will consider how research informationists can form collaborative partnerships with research teams and build their services outside the walls of the library, citing practical examples of the types of support research informationists can offer.
Using Ai Tools In Text Analysis Simplification Classification And Synthesis
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Author : Jomaa, Nayef J.
language : en
Publisher: IGI Global
Release Date : 2025-01-31
Using Ai Tools In Text Analysis Simplification Classification And Synthesis written by Jomaa, Nayef J. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Computers categories.
The recent advancements in AI tools for generating, analyzing, translating, synthesizing, and summarizing texts are revolutionizing how we process and interact with information. These tools enhance productivity and creativity across diverse fields, enabling more efficient workflows and deeper insights. Its impact extends to fostering innovation, bridging language barriers, and democratizing access to knowledge, shaping a more connected and informed global society. Using AI Tools in Text Analysis, Simplification, Classification, and Synthesis discusses recent AI tools used in generating, analyzing, translating, and summarizing texts. It presents perspectives and current trends in using AI tools to deal with texts. Covering topics such as automated evaluation, large language models, and text paraphrasing, this book is an excellent resource for academicians, researchers, educators, linguists, media professionals, business leaders, policymakers, and more.