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Scientific Data for Decision Making Toward Sustainable Development: Senegal River Basin Case Study --

Summary of a Workshop

Status: Available Now

Size: 68 pages, 6 x 9

Publication Year:2003

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PAPERBACK ISBN-10: 0-309-08709-0 ISBN-13: 978-0-309-08709-4	$21.00	$18.90	Add to Cart

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Authors:
Paul F. Uhlir, Director, U.S. National Committee for CODATA, U.S. National Committee for CODATA, National Research Council, Senegal National Committee for CODATA
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Scientific databases relating to the environment, natural resources, and public health on the African continent are, for various reasons, difficult to create and manage effectively. Yet the creation of these and other types of databases--and their subsequent use to produce ...
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Table of Contents
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Front Matter	i-xii
1 Introduction	1-3	(skim)
2 The Senegal River Basin and Related Data Sources	4-13	(skim)
3 Summary of Presentations on Scientific Data for Decision Making	14-29	(skim)
4 Summary Issues Raised by the Participants at the Workshop	30-34	(skim)
Appendix A: Site Visits and Workshop Agendas	35-42	(skim)
Appendix B: List of Workshop Participants	43-48	(skim)
Appendix C: Contact Information on Selected Scientific Data Sources	49-53	(skim)
Appendix D: Acronyms and Initialisms	54-56	(skim)

Description

Scientific databases relating to the environment, natural resources, and public health on the African continent are, for various reasons, difficult to create and manage effectively. Yet the creation of these and other types of databases--and their subsequent use to produce new information and knowledge for decision-makers--is essential to advancing scientific and technical progress in that region and to its sustainable development. The U.S. National Committee for CODATA collaborated with the Senegalese National CODATA Committee to convene a "Workshop on Scientific Data for Decision-Making Toward Sustainable Development: Senegal River Basin Case Study," which was held on 11-15 March 2002, in Dakar, Senegal. The workshop examined multidisciplinary data sources and data handling in the West Africa region, using the Senegal River Basin as a case study, to determine how these data are or can be better used in decision making related to sustainable development.

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