Data Management For Libraries Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Data Management For Libraries book. This book definitely worth reading, it is an incredibly well-written.
Libraries organize information and data is information, so it is natural that librarians should help people who need to find, organize, use, or store data. Organizations need evidence for decision making; data provides that evidence. Inventors and creators build upon data collected by others. All around us, people need data. Librarians can help increase the relevance of their library to the research and education mission of their institution by learning more about data and how to manage it. Data Management will guide readers through: Understanding data management basics and best practices. Using the reference interview to help with data management Writing data management plans for grants. Starting and growing a data management service. Finding collaborators inside and outside the library. Collecting and using data in different disciplines.
It has become increasingly accepted that important digital data must be retained and shared in order to preserve and promote knowledge, advance research in and across all disciplines of scholarly endeavor, and maximize the return on investment of public funds. To meet this challenge, colleges and universities are adding data services to existing infrastructures by drawing on the expertise of information professionals who are already involved in the acquisition, management and preservation of data in their daily jobs. Data services include planning and implementing good data management practices, thereby increasing researchers' ability to compete for grant funding and ensuring that data collections with continuing value are preserved for reuse. This volume provides a framework to guide information professionals in academic libraries, presses, and data centers through the process of managing research data from the planning stages through the life of a grant project and beyond. It illustrates principles of good practice with use-case examples and illuminates promising data service models through case studies of innovative, successful projects and collaborations.
Author : Filip Kruse,Jesper Boserup Thestrup Publisher : Walter de Gruyter GmbH & Co KG Page : 157 pages File Size : 55,8 Mb Release : 2017-12-04 Category : Language Arts & Disciplines ISBN : 9783110365634
Research Data Management - A European Perspective by Filip Kruse,Jesper Boserup Thestrup Pdf
Based on case studies this book offers an insight in various European activities and practices in data management and their interaction with policies and programs. The latter form the background for the following case studies, provide the conceptual framework, at the same time giving an exhaustive understanding of the specific subjects. The case studies share common themes and give a concrete insight into vital issues such as web archiving, digitization of analog archives, researchers’ motivations for sharing data, and how libraries, archives and researchers can collaborate in creating research tools and services.
Research Data Access and Management in Modern Libraries by Bhardwaj, Raj Kumar,Banks, Paul Pdf
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 Data Librarian’s Handbook by Robin Rice,John Southall Pdf
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.
Music Research Data Management by Amy S. Jackson,Sean Luyk Pdf
What is research data for music researchers and performers? How can music librarians develop their knowledge and skills to better meet the research data needs of their constituents, and contribute to the data-intensive turn in academia? Music Research Data Management: A Guide for Librarians explores these questions, provides readers with a background in research data management as it applies to specific music disciplines, and presents examples of the data used within several of the major music and music-related disciplines. Many academic libraries offer extensive research data management services, which may include support for data management planning, data description and access, preservation, and the promotion of open data initiatives. Because of a lack of shared vocabulary, music researchers may not realize that they work with “data” and are eligible for these services. Music researchers and performers work with items such as texts, datasets, and recordings, and create new items for the library to curate and preserve. By drawing upon research data management principles, music librarians can define music research data and articulate its importance. Music Research Data situates research data management within the music disciplines and examines how music librarians can become leaders in the evolving turn towards data-focused research and scholarship, including ways in which our libraries can better support and curate these data. Useful to music librarians with varying levels of experience and development in research data management services at their libraries, this book offers a solid foundation for building these services.
Data Management for Libraries by Laura Krier,Carly A. Strasser Pdf
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.
Data Management for Libraries by V. J. Suseela,V. Uma Pdf
A library is a system that consists of inter-dependent and interrelated sub-systems that generate huge amounts of data. It shares the common data within the system and across the systems. In modern integrated library systems, the bibliographic data is primarily connected to various other sub-systems. The back-end relational database management systems (RDBMS) are effective in organizing the data in standard formats while avoiding data redundancy. The data created from this process is usually made available to users for their retrieval. Thus, the entire cycle revolves around the growing information requirements of users. This book attempts to focus on creating and understanding the basic concepts of databases, library databases, DBMS/RDBMS functioning at the backend of LIS operations in building such databases while specifying the usefulness of DBMS approach in the effective retrieval of information from library catalogs, as well as from external online databases. The relevant strategies to be applied in information retrieval and useful tools are briefly dealt with, with information given on emerging trends in library data management. [Subject: Library Science, Data Management]
Author : Laura Krier,Carly A. Strasser Publisher : American Library Association Page : 113 pages File Size : 46,9 Mb Release : 2013-10-30 Category : Language Arts & Disciplines ISBN : 9781555709778
Data Management for Libraries by Laura Krier,Carly A. Strasser Pdf
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.
The Medical Library Association Guide to Data Management for Librarians by Lisa Federer Pdf
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.
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
Data Clean-Up and Management by Margaret Hogarth,Kenneth Furuta Pdf
Data use in the library has specific characteristics and common problems. Data Clean-up and Management addresses these, and provides methods to clean up frequently-occurring data problems using readily-available applications. The authors highlight the importance and methods of data analysis and presentation, and offer guidelines and recommendations for a data quality policy. The book gives step-by-step how-to directions for common dirty data issues. Focused towards libraries and practicing librarians Deals with practical, real-life issues and addresses common problems that all libraries face Offers cradle-to-grave treatment for preparing and using data, including download, clean-up, management, analysis and presentation
Managing Data for Patron Privacy by Kristin Briney,Becky Yoose Pdf
Libraries are not exempt from the financial costs of data breaches or leaks, no matter the size. Whether from a library worker unwittingly sharing a patron’s address with a perpetrator of domestic violence to leaving sensitive patron data unprotected, patrons can also pay a hefty price when libraries fail to manage patron data securely and ethically. In this guide, readers will learn concrete action steps for putting the ethical management of data into practice, following two common public and academic library cumulative case studies. The authors explore such key topics as succinct summaries of major U.S. laws and other regulations and standards governing patron data management; information security practices to protect patrons and libraries from common threats; how to navigate barriers in organizational culture when implementing data privacy measures; sources for publicly available, customizable privacy training material for library workers; the data life cycle from planning and collecting to disposal; how to conduct a data inventory; understanding the associated privacy risks of different types of library data; why the current popular model of library assessment can become a huge privacy invasion; addressing key topics while keeping your privacy policy clear and understandable to patrons; and data privacy and security provisions to look for in vendor contracts.
Knowledge Management in Libraries and Organizations by Leda Bultrini,Sally McCallum,Wilda Newman,Julien Sempéré Pdf
The management of knowledge created in an organization not only enables reuse of knowledge, but also adds value to the organization itself. Preventing duplication of intellectual effort, it saves economic and human resources, leading to the creation of new information. This book gathers the wisdom of knowledge managers and researchers in the context of the library and will be a valuable reference source for all libraries.
Data Science for Librarians by Yunfei Du,Hammad Rauf Khan Pdf
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.