Computing and database management has shifted from cottage industry-style methods — the small independent researcher keeping records for a particular project — to state-of-the-art file storage systems, presentation, and distribution over the Internet. New and emerging techniques for recognition, compilation, and data management have made managing data a discipline in its own right. Covering all aspects of this data management, Biodiversity Databases: Techniques, Politics, and Applications brings together input from social scientists, programmers, database designers, and information specialists to delineate the political setting and give institutions platforms for the dissemination of taxonomic information.
A practical and logical guide to complex issues, the book explores the changes and challenges of the information age. It discusses projects developed to provide better access to all available biodiversity information. The chapters make the case for the need for representation of concepts in taxonomic databases. They explore issues involved in connecting databases with different user interfaces, the technical demands of linking databases that are not entirely uniform in structure, and the problems of user access and the control of data quality. The book highlights different approaches to addressing concerns associated with the taxonomic impediment and the low reproducibility of taxonomic data. It provides an in-depth examination of the challenge of making taxonomic information more widely available to users in the wider scientific community, in government, and the general population.
Introduction and Background. The GBIF Position. Collections, Access and Meta-Data. Connecting Databases – the ‘Biodiversity World’ Project. Tropicos and Flora North America. Collection Database Architectures and Internet Services for Collections Databases. Biodiversity Information on the GRID. Biodiversity of Plant Pathogenic Fungi – LIAS Project. ENBI. Biodiversity Databases of Fossil Organisms Based on XML. Java/CORBA Common Access System for Species 2000. Set in Stone: On-line Publishing of Original Data. ERIN and Industrializing Information.