Arguing that there never was a time when politicians did not prevaricate and when some communities did not doubt conclusions that others considered to be facts, The Measurement of Information Integrity puts the post-truth era in context and offers measures for integrity in the modern world. Incorporating international examples from a range of disciplines, this book provides the reader with tools that will help them to evaluate public statements - especially ones involving the sciences and scholarship. It also provides intellectual tools to those who must assess potential violations of public or academic integrity. Many of these tools involve measurement mechanisms, ways of putting cases into context, and a recognition that few cases are simple black-and-white violations. Demonstrating that a binary approach to judging research integrity fails to recognize the complexity of the environment, Seadle highlights that even flawed discoveries may still contain value. Finally, the book reminds its reader that research integrity takes different forms in different disciplines and that each one needs separate consideration, even if the general principles remain the same for all. The Measurement of Information Integrity will help those who want to do research well, as well as those who must ascertain whether results have failed to meet the standards of the community. It will be of particular interest to researchers and students engaged in the study of library and information science.

Arguing that there never was a time when politicians did not prevaricate and when some communities did not doubt conclusions that others considered to be facts, The Measurement of Information Integrity puts the post-truth era in context and offers measures for integrity in the modern world. Incorporating international examples from a range of disciplines, this book provides the reader with tools that will help them to evaluate public statements - especially ones involving the sciences and scholarship. It also provides intellectual tools to those who must assess potential violations of public or academic integrity. Many of these tools involve measurement mechanisms, ways of putting cases into context, and a recognition that few cases are simple black-and-white violations. Demonstrating that a binary approach to judging research integrity fails to recognize the complexity of the environment, Seadle highlights that even flawed discoveries may still contain value. Finally, the book reminds its reader that research integrity takes different forms in different disciplines and that each one needs separate consideration, even if the general principles remain the same for all. The Measurement of Information Integrity will help those who want to do research well, as well as those who must ascertain whether results have failed to meet the standards of the community. It will be of particular interest to researchers and students engaged in the study of library and information science.

Data integrity is the quality, reliability, trustworthiness, and completeness of a data set, providing accuracy, consistency, and context. Data quality refers to the state of qualitative or quantitative pieces of information. Over five sections, this book discusses data integrity and data quality as well as their applications in various fields.

Integrity and Internal Control in Information Systems is a state-of-the-art book that establishes the basis for an ongoing dialogue between the IT security specialists and the internal control specialists so that both may work more effectively together to assist in creating effective business systems in the future. Building on the issues presented in the preceding volume of this series, this book seeks further answers to the following questions: What precisely do business managers need in order to have confidence in the integrity of their information systems and their data? What is the status quo of research and development in this area? Where are the gaps between business needs on the one hand and research/development on the other; what needs to be done to bridge these gaps? Integrity and Internal Control in Information Systems contains the selected proceedings of the Second Working Conference on Integrity and Internal Control in Information Systems, sponsored by the International Federation for Information Processing (IFIP) and held in Warrenton, Virginia, USA, in November 1998. It will be essential reading for academics and practitioners in computer science, information technology, business informatics, accountancy and edp-auditing.

Rising disinformation has far-reaching consequences in many policy areas ranging from public health to national security. It can cast doubt on factual evidence, jeopardise the implementation of public policies and undermine people's trust in the integrity of democratic institutions. This report explores how to respond to these challenges and reinforce democracy.

This book provides practical and detailed advice on how to implement data governance and data integrity for regulated analytical laboratories working in the pharmaceutical and allied industries.

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You'll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You'll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. - Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges - Enables discussions between business and IT with a non-technical vocabulary for data quality measurement - Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

This book provides a reference point for the development of Building Information Modelling (BIM) maturity in the developing country context. Developing countries have been observed to have low BIM maturity and are struggling to adopt the technology amidst no clearly defined pathways for achieving BIM capability maturity. The research presented in this book provides construction industry stakeholders in developing countries with a framework and nomological map to aid in the advancement of BIM implementation. This work provides a pathway for overcoming the challenges inhibiting BIM maturity in developing countries and ultimately its diffusion in order to harness the benefits. The authors provide critical theoretical insights on BIM maturity in the developing country context, a comparative analysis of BIM maturity in both developing and developed countries, and finally, a conceptualisation of BIM maturity for developing countries. The book is unique as its construct is rooted in the state-of-the-art information management standards in the digitalisation era in the construction industry (ISO 19650). The book delivers a theoretical reference point to the academic and research community and for the industry stakeholder, an essential guide to achieving BIM maturity at macro and micro levels.

As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibility, and stewardship-and finds a need for a new approach to the design and the management of research projects. The report recommends that all researchers receive appropriate training in the management of research data, and calls on researchers to make all research data, methods, and other information underlying results publicly accessible in a timely manner. The book also sees the stewardship of research data as a critical long-term task for the research enterprise and its stakeholders. Individual researchers, research institutions, research sponsors, professional societies, and journals involved in scientific, engineering, and medical research will find this book an essential guide to the principles affecting research data in the digital age.