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New global communication process in thermodynamics: Impact on quality of published experimental data
Journal article   Peer reviewed

New global communication process in thermodynamics: Impact on quality of published experimental data

M. Frenkel, R.D. Chirico, V. Diky, C. Muzny, Q. Dong, K.N. Marsh, J.H. Dymond, W.A. Wakeham, S.E. Stein, E. Königsberger, …
Journal of Chemical Information and Modeling, Vol.46(6), pp.2487-2493
2006
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Abstract

Thermodynamic data are a key resource in the search for new relationships between properties of chemical systems that constitutes the basis of the scientific discovery process. In addition, thermodynamic information is critical for development and improvement of all chemical process technologies. Historically, peer-reviewed journals are the major source of this information obtained by experimental measurement or prediction. Technological advances in measurement science have propelled enormous growth in the scale of published thermodynamic data (almost doubling every 10 years). This expansion has created new challenges in data validation at all stages of the data delivery process. Despite the peer-review process, problems in data validation have led, in many instances, to publication of data that are grossly erroneous and, at times, inconsistent with the fundamental laws of nature. This article describes a new global data communication process in thermodynamics and its impact in addressing these challenges as well as in streamlining the delivery of the thermodynamic data from “data producers” to “data users”. We believe that the prolific growth of scientific data in numerous and diverse fields outside thermodynamics, together with the demonstrated effectiveness and versatility of the process described in this article, will foster development of such processes in other scientific fields.

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Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
2 Chemistry
2.89 Ionic, Molecular & Complex Liquids
2.89.72 Vapor-Liquid Equilibria
Web Of Science research areas
Chemistry, Medicinal
Chemistry, Multidisciplinary
Computer Science, Information Systems
Computer Science, Interdisciplinary Applications
ESI research areas
Chemistry
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