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The digital age is burning out our most precious resources and the future of the past is at stake. In After Disruption: A Future for Cultural Memory, Trevor Owens warns that our institutions of cultural memory—libraries, archives, museums, humanities departments, research institutes, and more—have been “disrupted,” and largely not for the better. He calls for memory workers and memory institutions to take back control of envisioning the future of memory from management consultants and tech sector evangelists. After Disruption posits that we are no longer planning for a digital future, but instead living in a digital present. In this context, Owens asks how we plan for and develop a more just, sustainable, and healthy future for cultural memory. The first half of the book draws on critical scholarship on the history of technology and business to document and expose the sources of tech startup ideologies and their pernicious results, revealing that we need powerful and compelling counter frameworks and values to replace these ideologies. The second half of the book makes the case for the centrality of maintenance, care, and repair as interrelated frameworks to build a better future in which libraries, archives, and museums can thrive as sites of belonging and connection through collections.

A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data that are the foundation of their research. Kristin Briney offers practical advice and clearly explains policies and principles, in an accessible and in-depth text that will allow researchers to understand and achieve the goal of better research data management. Data Management for Researchers includes sections on: • The data problem – an introduction to the growing importance and challenges of using digital data in research. Covers both the inherent problems with managing digital information, as well as how the research landscape is changing to give more value to research datasets and code. • The data lifecycle – a framework for data's place within the research process and how data's role is changing. Greater emphasis on data sharing and data reuse will not only change the way we conduct research but also how we manage research data. • Planning for data management – covers the many aspects of data management and how to put them together in a data management plan. This section also includes sample data management plans. • Documenting your data – an often overlooked part of the data management process, but one that is critical to good management; data without documentation are frequently unusable. • Organizing your data – explains how to keep your data in order using organizational systems and file naming conventions. This section also covers using a database to organize and analyze content. • Improving data analysis – covers managing information through the analysis process. This section starts by comparing the management of raw and analyzed data and then describes ways to make analysis easier, such as spreadsheet best practices. It also examines practices for research code, including version control systems. • Managing secure and private data – many researchers are dealing with data that require extra security. This section outlines what data falls into this category and some of the policies that apply, before addressing the best practices for keeping data secure. • Short-term storage – deals with the practical matters of storage and backup and covers the many options available. This section also goes through the best practices to insure that data are not lost. • Preserving and archiving your data – digital data can have a long life if properly cared for. This section covers managing data in the long term including choosing good file formats and media, as well as determining who will manage the data after the end of the project. • Sharing/publishing your data – addresses how to make data sharing across research groups easier, as well as how and why to publicly share data. This section covers intellectual property and licenses for datasets, before ending with the altmetrics that measure the impact of publicly shared data. • Reusing data – as more data are shared, it becomes possible to use outside data in your research. This chapter discusses strategies for finding datasets and lays out how to cite data once you have found it. This book is designed for active scientific researchers but it is useful for anyone who wants to get more from their data: academics, educators, professionals or anyone who teaches data management, sharing and preservation.'An excellent practical treatise on the art and practice of data management, this book is essential to any researcher, regardless of subject or discipline.'—Robert Buntrock, Chemical Information Bulletin

Despite new technologies, people do not always find information with ease. Do people still need help in finding the information they need, and if so, why? What can be made easier with new tools and techniques?Information Services and Digital Literacy is about the role of information services and digital literacies in the age of the social web. This title provides an alternative perspective for understanding information services and digital literacy, and argues that a central problem in the age of the social web and the culture of participation is that we do not know the premises of how we know, and how ways of interacting with information affect our actions and their outcomes. Information seeking is always a question of crossing and expanding boundaries between our earlier experiences and the unknown. We may not yet be well enough acquainted with the landscape of digital information to understand how we know, where the boundaries to our knowledge lie, how to cross them, and what consequences our actions may have. - Presents a new approach for understanding how information services help and hinder people in becoming informed - Provides an overview of how to conceptualize information services and digital literacy - Provides a model for developing new types of library and information service

The proliferation of online access to social science statistical and numeric data sources, such as the U.S. Census Bureau's American Fact Finder, has lead to an increased interest in supporting these sources in academic libraries. Many large libraries have been able to devote staff to data services for years, and recently smaller academic libraries have recognized the need to provide numeric data services and support. This guidebook serves as a primer to developing and supporting social science statistical and numerical data sources in the academic library. It provides strategies for the establishment of data services and offers short descriptions of the essential sources of free and commercial social science statistical and numeric data. Finally, it discusses the future of numeric data services, including the integration of statistics and data into library instruction and the use of Web 2.0 tools to visualize data. - Written for a general reference audience with little knowledge of data services and sources who would like to incorporate support into their general reference practice - Combines information on establishing data services with an introduction to available statistical and numeric data sources - Provides insight into the integration of statistics and data into library instruction and the social science research process

The disparity in access to information is a worldwide phenomenon. Global Information Inequalities offers a captivating look into problems of information access across the world today. One of the unique strengths of the book is the use of examples of library initiatives from around the world to illustrate the range of possibilities for equitable access and library service delivery in a global context. It contains numerous examples of a wide variety of information problems and solutions ranging from developing literacy programs in rural communities in Tanzania, building school libraries in China, making government-related information more transparent in Chile, to exploring how digital technologies have the potential to revolutionize the lives of people with sensory-disabilities. The contributions in Global Information Inequalities address a number of core professional issues, including access to information, library services, collection development, global collaboration, intellectual property, and digital information. The contributors are from Argentina, Canada, Chile, China, Iceland, Malaysia, Peru, South Africa, Tanzania, United States, and Zambia, thereby providing a wide range of perspectives on librarianship. Written in a simple, thorough, and multidisciplinary approach, the book presents and discusses key issues in various library settings and from different perspectives. Overall, this work contributes to a global examination and exploration of libraries in various parts of the world. This book has a wide appeal and is applicable to various library environments (including academic, public, and special libraries). - Provides readers with an overview of possibilities for equitable library service delivery in a global context - Provides readers with numerous examples and case studies particularly useful for practitioners - Examples also provide unique examinations of country-specific issues in a global context

يعتبر تقديم خدمات المعلومات المبرر الأساسى لوجود المكتبات المتخصصة, وهى من أوائل انواع المكتبات التى اهتمت بإدخال التكنولوجيا و الميكنة, من اجل تقديم خدمات و معلومات افضل, بل تحولت العديد من المكتبات المتخصصة إلى مراكز للمعلومات مسايرة للموجة المعاصرة المتصلة بزيادة الإهتمام بمؤسسات المعلومات و سلعها وخدماتها. خصوصا و ان معظم العاملين بتلك المكتبات المتخصصة و مراكز المعلومات - فى الدول المتقدمة - هم من المتخصصين فى الموضوعات العلمية التى تهتم بها المؤسسات التى يتبعونها.