How Libraries Should Manage Data
How Libraries Should Manage Data

Author: Brian Cox

Publisher: Chandos Publishing

Published: 2015-09-16

Total Pages: 150

ISBN-13: 9780081006634

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Have you ever looked at your Library's key performance indicators and said to yourself "so what!"? Have you found yourself making decisions in a void due to the lack of useful and easily accessible operational data? Have you ever worried that you are being left behind with the emergence of data analytics? Do you feel there are important stories in your operational data that need to be told, but you have no idea how to find these stories? If you answered yes to any of these questions, then this book is for you. How Libraries Should Manage Data provides detailed instructions on how to transform your operational data from a fog of disconnected, unreliable, and inaccessible information - into an exemplar of best practice data management. Like the human brain, most people are only using a very small fraction of the true potential of Excel. Learn how to tap into a greater proportion of Excel's hidden power, and in the process transform your operational data into actionable business intelligence. Recognize and overcome the social barriers to creating useful operational data Understand the potential value and pitfalls of operational data Learn how to structure your data to obtain useful information quickly and easily Create your own desktop library cube with step-by-step instructions, including DAX formulas

How Libraries Should Manage Data
How Libraries Should Manage Data

Author: Brian Cox

Publisher: Chandos Publishing

Published: 2015-09-04

Total Pages: 151

ISBN-13: 0081006713

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Have you ever looked at your Library's key performance indicators and said to yourself "so what!"? Have you found yourself making decisions in a void due to the lack of useful and easily accessible operational data? Have you ever worried that you are being left behind with the emergence of data analytics? Do you feel there are important stories in your operational data that need to be told, but you have no idea how to find these stories? If you answered yes to any of these questions, then this book is for you. How Libraries Should Manage Data provides detailed instructions on how to transform your operational data from a fog of disconnected, unreliable, and inaccessible information - into an exemplar of best practice data management. Like the human brain, most people are only using a very small fraction of the true potential of Excel. Learn how to tap into a greater proportion of Excel's hidden power, and in the process transform your operational data into actionable business intelligence. - Recognize and overcome the social barriers to creating useful operational data - Understand the potential value and pitfalls of operational data - Learn how to structure your data to obtain useful information quickly and easily - Create your own desktop library cube with step-by-step instructions, including DAX formulas

Research Data Access and Management in Modern Libraries
Research Data Access and Management in Modern Libraries

Author: Bhardwaj, Raj Kumar

Publisher: IGI Global

Published: 2019-05-15

Total Pages: 446

ISBN-13: 1522584382

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Handling and archiving data should be done in a highly professional and quality-controlled manner. For academic and research libraries, it is required to know how to document data and support traceability, as well as to make it reusable and productive. However, these institutions have different requirements relating to the archiving and reusability of data. Therefore, a comprehensive source of information is required to understand data access and management within these organizations. Research Data Access and Management in Modern Libraries is a critical scholarly resource that delves into innovative data management strategies and strategy implementation in library settings and provides best practices to stakeholders using the latest tools and technology. It further explores concepts such as research data management, data access, data preservation, building document and data institutional repositories, applications of Web 2.0 tools, mobile technology applications in data access, and conducting information literacy programs. This book is ideal for librarians, information specialists, research scholars, students, IT managers, computer scientists, policymakers, educators, and academic administrators.

The Medical Library Association Guide to Data Management for Librarians
The Medical Library Association Guide to Data Management for Librarians

Author: Lisa Federer

Publisher: Rowman & Littlefield

Published: 2016-09-15

Total Pages: 243

ISBN-13: 1442264284

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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.

Data Management for Libraries
Data Management for Libraries

Author: Laura Krier

Publisher: American Library Association

Published: 2014

Total Pages: 113

ISBN-13: 1555709699

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Since the National Science Foundation joined the National Institutes of Health in requiring that grant proposals include a data management plan, academic librarians have been inundated with related requests from faculty and campus-based grant consulting offices. Data management is a new service area for many library staff, requiring careful planning and implementation. This guide offers a start-to-finish primer on understanding, building, and maintaining a data management service, showing another way the academic library can be invaluable to researchers. Krier and Strasser of the California Digital Library guide readers through every step of a data management plan by Offering convincing arguments to persuade researchers to create a data management plan, with advice on collaborating with them Laying out all the foundations of starting a service, complete with sample data librarian job descriptions and data management plans Providing tips for conducting successful data management interviews Leading readers through making decisions about repositories and other infrastructure Addressing sensitive questions such as ownership, intellectual property, sharing and access, metadata, and preservation This LITA guide will help academic librarians work with researchers, faculty, and other stakeholders to effectively organize, preserve, and provide access to research data.

Putting Library Assessment Data to Work
Putting Library Assessment Data to Work

Author: Selena Killick

Publisher: Facet Publishing

Published: 2019-07-16

Total Pages: 192

ISBN-13: 1783302208

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Effective library assessment is crucial for a successful academic library. But what do we mean by library assessment and how can it be used to improve the library service? This new book provides a practical guide for library administrators, managers and practitioners on how to make effective use of existing sources of information for assessment activities with the aim of improving academic library services. Putting Library Assessment Data to Work brings together key library assessment methodologies detailing how they can be used to improve an academic Library. The book takes common sources of data that academic libraries will already be collecting, and presents simple qualitative and quantitative techniques that can be used to evaluate and assess their services, both in detail and overall. The different assessment methods are presented from a practical perspective with a theoretical grounding, and include practical case studies to illustrate how the methodologies have successfully been applied. - The book includes coverage of: - The theoretical framework for assessment, its purpose and the tools and techniques used - Institutional, national and international student surveys and how they can be used to improve library service - The history and development of standardised library surveys (eg LibQUAL+®), how they have been used and their impact - The benefits of In house library surveys and case studies of where they gave been used - Library statistics, including standardised statistics sets and key performance indicators - Qualitative feedback in the library - Emerging techniques including UX - Taking a holistic approach to library assessment through advocacy and strategic planning This book will be essential reading for library and information service managers, administrators, assessment practitioners, educators and policy shapers. It will also be useful for students and researchers interested in library assessment.

Big Data Applications for Improving Library Services
Big Data Applications for Improving Library Services

Author: Dhamdhere, Sangeeta Namdev

Publisher: IGI Global

Published: 2020-09-25

Total Pages: 211

ISBN-13: 1799830519

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Today, libraries must provide various web-based services, social media, and internet to patrons in order to adequately support their information needs. In addition to these services, the maintenance of online literature, databases, data sets, and archives cause librarians to have to handle huge amounts of data each day. Big data can support with quality improvement and problem solving to improve library services and can help librarians to provide up-to-date and innovative real-time services to library users. Big Data Applications for Improving Library Services is an essential scholarly publication that examines the implications and applications of big data analytics on services provided by libraries. Highlighting a wide range of topics such as data analytics, mobile technologies, and web-based services, this book is ideal for librarians, knowledge managers, data scientists, data analysts, cataloguers, academicians, IT professionals, researchers, and students.

Digital Libraries: Knowledge, Information, and Data in an Open Access Society
Digital Libraries: Knowledge, Information, and Data in an Open Access Society

Author: Atsuyuki Morishima

Publisher: Springer

Published: 2016-11-24

Total Pages: 407

ISBN-13: 3319493043

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This book constitutes the refereed proceedings of the 18th InternationalConference on Asia-Pacific Digital Libraries, ICADL 2016, held in Tsukuba,Japan, in December 2016. The 18 full papers, 17 work-in-progress papers and 7 practitioner papers presented were carefully reviewed and selected from 71 submissions. The papers cover topics such as community informatics, digital heritage preservation, digital curation, models and guidelines, information retrieval/integration/extraction/recommendation, privacy, education and digital literacy, open access and data, and information access design.

Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems
Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems

Author: Mani, Nandita S.

Publisher: IGI Global

Published: 2022-05-06

Total Pages: 415

ISBN-13: 1799897044

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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.