Recommendations for open data science

被引：5

作者：

Gymrek, Melissa ^{[1
,2
]}

Farjoun, Yossi ^{[3
]}

机构：

[1] Broad Inst MIT & Harvard, Program Med & Populat Genet, Cambridge, MA USA

[2] Massachusetts Gen Hosp, Analyt & Translat Genet Unit, Boston, MA 02114 USA

[3] Broad Inst MIT & Harvard, Data Sci & Data Engn, Cambridge, MA USA

来源：

GIGASCIENCE | 2016年 / 5卷

关键词：

Reproducible research; Open science; Best practices;

D O I：

10.1186/s13742-016-0127-4

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.

引用

页数：3

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