Building Trust in Information

This book reports on the results of an interdisciplinary and multidisciplinary workshop on provenance that brought together researchers and practitioners from different areas such as archival science, law, information science, computing, forensics and visual analytics that work at the frontiers of new knowledge on provenance. Each of these fields understands the meaning and purpose of representing provenance in subtly different ways. The aim of this book is to create cross-disciplinary bridges of understanding with a view to arriving at a deeper and clearer perspective on the different facets of provenance and how traditional definitions and applications may be enriched and expanded via an interdisciplinary and multidisciplinary synthesis. This volume brings together all of these developments, setting out an encompassing vision of provenance to establish a robust framework for expanded provenance theory, standards and technologies that can be used to build trust in financial and other types of information.

Inhalt
Part I: Synthesis.- Chapter 1: Provenance: Past, Present and Future in Interdisciplinary and Multidisciplinary Perspectives.- Part II: Archival Perspectives.- Chapter 2: Describing Archives In Context: Peter J Scott And The Australian 'Series' System.- Chapter 3: Provenance: An Archival Perspective.- Chapter 4: Research Issues in Archival Provenance.- Part III: Library and Information Science Perspectives.- Chapter 5: Interest and Application of the Concept of provenance at the Bodleian Library.- Chapter 6: Conceptual Provenance in Indexing Languages.- Part IV: Computer Science Perspectives.- Chapter 7: A Brief Tour through Provenance in Scientific Workflows and Databases.- Chapter 8: The Lifecycle of Provenance metadata and its Associated Challenges and Opportunities.- Part V: Cognitive Science Perspectives through the Lens of Visual Analytics.- Chapter 9: Visual analytics Data, Analytical and Reasoning Provenance.- Chapter 10: Analytic Provenance and Distributed Sensemaking.