Managing Scientific Data

被引:45
作者
Ailamaki, Anastasia [1 ,2 ]
Kantere, Verena [1 ]
Dash, Debabrata [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Data Intens Applicat & Syst Lab, Lausanne, Switzerland
[2] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA
关键词
All Open Access; Green;
D O I
10.1145/1743546.1743568
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Needed are generic, rather than one-off, DBMS solutions automating storage and analysis of data from scientific collaborations. © 2010 ACM.
引用
收藏
页码:68 / 78
页数:11
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