The End-to-End Provenance Project

被引：3
|
作者：
Ellison, Aaron M. [1 ]
Boose, Emery R. [1 ]
Lerner, Barbara S. [2 ]
Fong, Elizabeth [2 ]
Seltzer, Margo [3 ]
机构：
[1] Harvard Univ, Harvard Forest, 324 North Main St, Petersham, MA 01366 USA
[2] Mt Holyoke Coll, Dept Comp Sci, South Hadley, MA 01075 USA
[3] Univ British Columbia, Dept Comp Sci, Vancouver, BC V6T 1Z4, Canada
来源：
PATTERNS | 2020年 / 1卷 / 02期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1016/j.patter.2020.100016
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Data provenance is a machine-readable summary of the collection and computational history of a dataset. Data provenance confers or adds value to a dataset, helps reproduce computational analyses, or validates scientific conclusions. The people of the End-to-End Provenance Project are a community of professionals who have developed software tools to collect and use data provenance.
引用
收藏
页数：4
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