A Vision and Agenda for Theory Provenance in Scientific Publishing
Date
2009
Authors
Wood, Ian
Larson, Jay
Gardner, Henry James
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Primary motivations for effective data and process provenance in science are to facilitate validation and reproduction of experiments and to assist in the interpretation of data-analysis outcomes. Central to both these aims is an understanding of the ideas and hypotheses that the data supports, and how those ideas fit into the wider scientific context. Such knowledge consists of the collection of relevant previous ideas and experiments from the body of scientific knowledge, or, more specifically, how those ideas and hypotheses evolved, the steps in that evolution, and the experiments and results used to support those steps. This information we term the provenance of ideas or theory provenance. We propose an integrated approach to scientific knowledge management, combining data, process and theory provenance, providing full transparency for effective verification and review.
Description
Keywords
Keywords: Grid; Provenance; Scientific publishing; Semantic grid; Semantic network; Theory provenance; Database systems; Experiments; Knowledge management; Publishing; Semantics; Technical presentations; Technical writing; Knowledge representation Grid; Knowledge representation; Provenance; Scientific publishing; Semantic citation; Semantic grid; Semantic network; Theory provenance
Citation
Collections
Source
Type
Book chapter
Book Title
Database Systems for Advanced Applications
Entity type
Access Statement
License Rights
Restricted until
2037-12-31