This practical how-to-do-it guide is ideal for professionals involved in the management of archives and records, especially if they are just starting out or without formal training. The book covers all aspects of recordkeeping and archives management. It follows the records’ journey from creation, through the application of classification and access techniques, evaluation for business, legal and historical value and finally to destruction or preservation and access in the archive. Based on the internationally renowned training days run by the author and her business partner, The No-nonsense Guide to Archives and Recordkeeping deals with records and archives in all formats. It utilizes checklists, practical exercises, sample documentation, case studies and helpful diagrams to ensure a very accessible and pragmatic approach, allowing anyone to get to grips with the basics quickly. The book is divided into four main work areas: - current records: including creation, filing, classification and security - records management: including aims, risks, planning, preparation and delivery - archives management: including collecting policies, intellectual property rights, appraisal, digitization and outreach - archival preservation: including policy, disaster prevention and repositories. This one-stop-shop will be essential for a wide readership including archives and records assistants, librarians, information managers and IT professionals responsible for archives and records and managers of archives staff.

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

An archival collection is a unique body of information, created at a particular time by a particular organization or individual as a result of a particular activity. If the cultural record contained in an archive is to be accessible, the archivist must examine, organize, and describe each collection individually. Introduction to Archival Organization and Description guides the novice to an understanding of the nature of archival information and documentation. Chapters cover topics such as the characteristics of archival materials, the gathering and analysis of information for archival description, and the implementation of descriptive tools in information systems. The Introduction to series acquaints professionals and students with the complex issues and technologies in the production, management, and dissemination of cultural heritage information resources.

This book constitutes the refereed post-conference proceedings of the First International Conference on Data and Information in Online Environments, DIONE 2020, which took place in Florianópolis, Brazil, in March 2020. DIONE 2020 handles the growing interaction between the information sciences, communication sciences and computer sciences. The 18 revised full papers were carefully reviewed and selected from 37 submissions and focus on the production, dissemination and evaluation of contents in online environments. The goal is to improve cooperation between data science, natural language processing, data engineering, big data, research evaluation, network science, sociology of science and communication communities.

Drawing on the expertise of nineteen highly regarded American archivists, 'Managing Archives and Archival Institutions' establishes general principles that will be of practical value to archivists at all stages of professional development in all types of archival institutions. Contributions reflect the broad scope of archival work today and the wide range of skills and expertise archivists must acquire to meet the challenges presented by modern records and archives.

Intended to provide the basic foundation for modern archival practice and theory.