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Virtual Enterprise Environments for Scientific Experiments Association for Computing Machinery. (2003). Com- munications of the ACM, 46(10). Berman, F., Fox, G., & Hey, T. (Eds.). (2003). Grid computing: Making the global infrastructure a reality. New York: John Wiley & Sons. Bosin, A., Dessì, N., Fugini, M., Liberati, D., & Pes, B. (2006a). Applying enterprise models to design coopera- tive scientific environments. In Proceedings of the 6 th International Conference on Enterprise and Networked Enterprises Interoperability (ENEI'2005), Nancy, France (LNCS 3812, pp. 281-292). Springer-Verlag. Bosin, A., Dessì, N., Liberati, D., & Pes, B. (2006b). Learning Bayesian classifiers from gene-expression micro-array data. In 6 th International Workshop on Fuzzy Logic and Applications (LNCS 3849, pp. 297- 304). Springer-Verlag. De Roure, D., Gil, Y., & Hendler, J.A. (Eds.). (2004a). IEEE Intelligent Systems, Special Issue on E-Science, 19(1). De Roure, D., & Hendler, J. (2004b). E-Science: The grid and the Semantic Web. IEEE Intelligent Systems, Pollock, J.T., & Hodgson, R. (2004). Adaptive informa- tion: Improving business through semantic interoper- ability, grid computing, and enterprise integration. Wiley Series in Systems Engineering and Management. Wiley-Interscience. Travica, B. (2005). Virtual organization and electronic commerce. ACM SIGMIS Database, 36, (3). KEy tERms Bio-Informatics: The application of information technology to advanced biological problems, like tran- scriptomics and proteomics, involving huge amounts of data. E-Marketplace: Internet-based electronic market that allows online business-to-business communications and transactions. E-Science: Modality of performing scientific re- search through distributed global collaborations enabled by the Internet, using very large data collections and