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Issue No.03 - May-June (2013 vol.15)
pp: 8-10
Judith Bayard Cushing , The Evergreen State College
James French , Corporation for National Research Initiatives
ABSTRACT
This special issue presents researchers' latest efforts to help the scientific community manage increasingly large repositories of data.
INDEX TERMS
Special issues and sections, Data handling, Data storage systems, Information management, Database systems, Scientific computing, scientific computing, scientific data management, big data, database management systems, DBMS
CITATION
Judith Bayard Cushing, James French, "Science Data Management: Maximizing the Yield [Guest editors' introduction]", Computing in Science & Engineering, vol.15, no. 3, pp. 8-10, May-June 2013, doi:10.1109/MCSE.2013.66
REFERENCES
1. V. Mayer-Schonberger and K. Cukier, Big Data: A Revolution That Will Transform How We Live, Work, and Think, Eamon Dolan/Houghton Mifflin Harcourt, 2013.
2. P.C. Zikopoulos et al., Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data, McGraw Hill, 2012.
3. F.J. Alexander, H. Adolfy, and A. Szalay, “Big Data,” Computing in Science & Eng., vol. 13, no. 6, 2011, pp. 10–13.
4. US National Science Foundation (NSF), “NSF Leads Federal Efforts in Big Data,” press release 12-060, 29 Mar. 2012; www.nsf.gov/newsnews_summ.jsp?cntn_id=123607 .
5. US NSF, “NSF Announces Interagency Progress on Administration's Big Data Initiative,” press release 12-187, 3 Oct. 2012; www.nsf.gov/newsnews_summ.jsp?cntn_id=125610 .
6. L. Gitelman ed., Raw Data Is an Oxymoron, MIT Press, 2013.
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