"With the appearance of big data, open data, and particularly research data curation on many libraries' radar screens, data service has become a critically important topic for academic libraries. Drawing on the expertise of a diverse community of practitioners, this collection of case studies, original research, survey chapters, and theoretical explorations presents a wide-ranging look at the field of academic data librarianship. By covering the data lifecycle from collection development to preservation, examining the challenges of working with different forms of data, and exploring service models suited to a variety of library types, this volume provides a toolbox of strategies that will allow librarians and administrators to respond creatively and effectively to the data deluge. Edited by Kristi Thompson and Lynda Kellam, Databrarianship: The Academic Data Librarian in Theory and Practice provides advice and insight on data services for all types of academic libraries and will be of interest to library educators"--Publisher's website.
Libraries have historically played a role as a community builder, providing resources and spaces where knowledge can be archived, shared and created. They can also play a pivotal role in fostering the public's understanding of science and scientific processes. From makerspaces to data visualization labs to exhibits, many libraries already delve into scientific explorations and many more could join them. Scientists often need to include "broader impacts" goals in grant proposals, but they might not know where to begin or feel that they do not have the time to devote to public engagement. This is where libraries and librarians can help. Research in science communication also supports tapping into libraries for public engagement with science. Studies show that it is important for scientists to present findings in an apolitical way-not aligning with one solution or one way of thinking and not being seen as an activist (Druckman, 2015; Jamieson & Hardy, 2014). One of the core tenets of librarians and libraries is to present information in a neutral way. Research also shows that Informal conversations about science can have a greater effect on people than reading about it online or hearing about it on the news (Eveland & Cooper, 2013). Again, libraries can play a role in fostering these types of conversations. Given this landscape, this book will demonstrate concrete ways that libraries and librarians can play a role in fostering public engagement with science. In addition to background information on the current landscape of public knowledge and understanding of science, it will also include best practices and case studies of different types of programming and services that libraries can offer. Often libraries do not jump to mind when people think about science education or science literacy, and many librarians do not come from a science background. Literature on science programming and sharing science is largely absent from the library field. This book will help give confidence to librarians that they can participate in engaging the public with science. At the same time, it will provide a conduit to bring informal science educators, communication officers from universities or research organizations who share scientific discoveries with the public, and librarians together to explore ways to align their work to promote scientific literacy for all.
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.
Data are becoming the proverbial coin of the digital realm: a research commodity that might purchase reputation credit in a disciplinary culture of data sharing, or buy transparency when faced with funding agency mandates or publisher scrutiny. Unlike most monetary systems, however, digital data can flow in all too great an abundance. Not only does this currency actually grow on trees, but it comes from animals, books, thoughts, and each of us! And that is what makes data curation so essential. The abundance of digital research data challenges library and information science professionals to harness this flow of information streaming from research discovery and scholarly pursuit and preserve the unique evidence for future use. Volume One of Curating Research Data explores the variety of reasons, motivations, and drivers for why data curation services are needed in the context of academic and disciplinary data repository efforts. Twelve chapters, divided into three parts, take an in-depth look at the complex practice of data curation as it emerges around us. Part I sets the stage for data curation by describing current policies, data sharing cultures, and collaborative efforts currently underway that impact potential services. Part II brings several key issues, such as cost recovery and marketing strategy, into focus for practitioners when considering how to put data curation services in action. Finally, Part III describes the full lifecycle of data by examining the ethical and practical reuse issues that data curation practitioners must consider as we strive to prepare data for the future. Digital data is ubiquitous and rapidly reshaping how scholarship progresses now and into the future. The information expertise of librarians can help ensure the resiliency of digital data, and the information it represents, by addressing how the meaning, integrity, and provenance of digital data generated by researchers today will be captured and conveyed to future researchers.
As libraries transition into the digital age, they encounter a pressing challenge: outdated information systems hinder their ability to meet the diverse needs of patrons. Traditional library management systems struggle to cope with the demands of modern users, resulting in inefficient resource allocation, limited accessibility, and disjointed user experiences. This disconnect between antiquated systems and evolving user expectations poses a significant barrier to libraries striving to remain relevant in an increasingly digital world. Improving Library Systems with AI: Applications, Approaches, and Bibliometric Insights presents a comprehensive solution to this pressing problem. By integrating modern digital tools and technologies, libraries can revolutionize their information systems, enhancing accessibility, efficiency, and user satisfaction. This book offers practical insights and strategies for modernizing library services and operations, from digitizing physical resources to implementing advanced search algorithms and data analytics. Librarians, administrators, and technology providers will find invaluable guidance on navigating the complexities of digital transformation and maximizing the impact of their efforts.
In the ever-evolving landscape of information technology within library and information science, scholars often find themselves navigating a complex web of diverse research areas. The broad spectrum of topics, ranging from digital libraries to artificial intelligence, poses a significant challenge for academic scholars seeking a comprehensive understanding of the field's intricacies. The absence of a consolidated resource tailored to the specific needs of graduate students, professors, and practitioners further exacerbates this issue. Multidisciplinary Approach to Information Technology in Library and Information Science addresses the pressing challenges faced by scholars in the realm of library and information science. This reference handbook serves as a beacon, illuminating the multifaceted interactions and impacts of technologies on information resources. This book delves into the ethical, legal, and social implications of information technology across diverse contexts – libraries, information centers, archives, museums, education, business, government, and healthcare.
Man-made reasoning (simulated intelligence) is a quickly developing field of software engineering that might possibly change numerous parts of our lives. From independent vehicles to customized medical services, computer based intelligence is now being utilized to handle complex difficulties and further develop proficiency in various enterprises. But what exactly is AI, and how does it work? We'll go over the fundamentals of artificial intelligence in this article. Continue reading to learn more about the fascinating world of artificial intelligence, whether you are a tech enthusiast or just curious about this emerging field.
Are librarians and libraries relevant in the 21st century? This is a fundamental question and one that presents differing opinions across the many diverse information sectors. If there is a continuing need for libraries and for librarians, then how do library leaders obtain strategic support when there appears to be a lack of clarity or understanding about the very purpose of libraries at a time when economically, libraries are under pressure to develop new business models and be more commercially focussed? Bold Minds: Library leadership in a time of disruption brings together international leaders who frame many aspects of the current library provision and who carry responsibility for the library models of the future to consider how librarians and libraries can be a driving force in a time of disruptive economic, technological and cultural change. Each chapter critically presents a short leadership provocation regarding libraries and their purpose, encompassing impact, service delivery, collections, staff skills and professional training and assessing what it means for leaders, their sectors and organisations, and how they have developed their personal leadership signature. This book will be invaluable to library and information professionals in a range of public and private sector libraries as well as policy makers in services where libraries are a component. It will also be useful for students, educational establishments, and IT professionals with an information management element to their work.
This two-volume set LNCS 13192 – 13193 constitutes the refereed proceedings of the 17th International Conference on Information for a Better World: Shaping the Global Future, held in February 2022. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and the 29 short papers presented in this volume were carefully reviewed and selected from 167 submissions. They cover topics such as: Library and Information Science; Information Governance and Ethics; Data Science; Human-Computer Interaction and Technology ̧ Information Behaviour and Retrieval ̧ Communities and Media ̧ Health Informatics.
An insider’s guide to data librarianship packed full of practical examples and advice for any library and information professional learning to deal with data. Interest in data has been growing in recent years. Support for this peculiar class of digital information – its use, preservation and curation, and how to support researchers’ production and consumption of it in ever greater volumes to create new knowledge, is needed more than ever. Many librarians and information professionals are finding their working life is pulling them toward data support or research data management but lack the skills required. The Data Librarian’s Handbook, written by two data librarians with over 30 years’ combined experience, unpicks the everyday role of the data librarian and offers practical guidance on how to collect, curate and crunch data for economic, social and scientific purposes. With contemporary case studies from a range of institutions and disciplines, tips for best practice, study aids and links to key resources, this book is a must-read for all new entrants to the field, library and information students and working professionals. Key topics covered include: • the evolution of data libraries and data archives • handling data compared to other forms of information • managing and curating data to ensure effective use and longevity • how to incorporate data literacy into mainstream library instruction and information literacy training • how to develop an effective institutional research data management (RDM) policy and infrastructure • how to support and review a data management plan (DMP) for a project, a key requirement for most research funders • approaches for developing, managing and promoting data repositories • handling and sharing confidential or sensitive data • supporting open scholarship and open science, ensuring data are discoverable, accessible, intelligible and assessable. This title is for the practising data librarian, possibly new in their post with little experience of providing data support. It is also for managers and policy-makers, public service librarians, research data management coordinators and data support staff. It will also appeal to students and lecturers in iSchools and other library and information degree programmes where academic research support is taught.
