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Gigascience. 2016 May 18;5:22. doi: 10.1186/s13742-016-0127-4. eCollection 2016.

Recommendations for open data science.

Author information

1
Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA USA ; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA USA.
2
Data Science and Data Engineering, Broad Institute of MIT and Harvard, Cambridge, MA USA.

Abstract

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.

KEYWORDS:

Best practices; Open science; Reproducible research

PMID:
27195107
PMCID:
PMC4870738
DOI:
10.1186/s13742-016-0127-4
[Indexed for MEDLINE]
Free PMC Article

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