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Open Access And The Public Domain In Digital Data And Information For Science: Proceedings Of An International Symposium

by Julie M. Esanu U.S. National Committee for CODATA National Research Council Staff Paul F. Uhlir

This symposium, which was held on March 10-11, 2003, at UNESCO headquarters in Paris, brought together policy experts and managers from the government and academic sectors in both developed and developing countries to (1) describe the role, value, and limits that the public domain and open access to digital data and information have in the context of international research; (2) identify and analyze the various legal, economic, and technological pressures on the public domain in digital data and information, and their potential effects on international research; and (3) review the existing and proposed approaches for preserving and promoting the public domain and open access to scientific and technical data and information on a global basis, with particular attention to the needs of developing countries.

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

by U.S. National Committee for CODATA

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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