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Issue No.05 - Sept.-Oct. (2013 vol.15)
pp: 4-5
Judith Bayard Cushing , The Evergreen State College
ABSTRACT
What can we expect to find beyond Big Data? And how can we exploit Big Data to get there?
INDEX TERMS
Big data, Scientific computing, Visual analytics,scientific computing, big data, visual analytics, data mining
CITATION
Judith Bayard Cushing, "Beyond Big Data?", Computing in Science & Engineering, vol.15, no. 5, pp. 4-5, Sept.-Oct. 2013, doi:10.1109/MCSE.2013.102
REFERENCES
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3. C. Anderson,“The End of Theory,” Wired,23 June 2008.
4. R. Weinberg,“Point: Hypotheses First,” Nature, vol. 464, no. 7289, 2010; doi:10.1038/464678a.
5. T.R. Golub,“Counterpoint: Data First,” Nature, vol. 464, no. 679, 2010; doi:10.1038/464679a.
6. O.J. Reichman,M.B. Jones,, and M.P. Schildhauer,“Challenges and Opportunities of Open Data in Ecology,” Science, vol. 331, no. 6018, 2011, pp. 703-705.
7. Science, “Staff, Challenges, and Opportunities,” Science, vol. 331, no. 6018, 2011, pp. 692-693.
8. D. Peters, research scientist, US Dept. of Agriculture (USDA) Agricultural Research Service (ARS), Jornada Experimental Range and Lead Principal Investigator, Jornada Basin Long-Term Ecological Research (LTER) project, personal communication, July 2013.
9. O. Trelles et al., “Big Data, But Are We Ready?” Nature Reviews, Genetics, vol. 12, no. 224, 2011; doi:10.1038/nrg2857-c1.
10. B. Gonçalves and F. Porto,“Research Lattices: Towards a Scientific Hypothesis Data Model,” Proc. 25th Int’l Conf. Scientific and Statistical Data Management, ACM, 2013, article no. 41.
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