Recommendations for open data science

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Recommendations for open data science

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Title: Recommendations for open data science
Author: Gymrek, Melissa; Farjoun, Yossi

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Citation: Gymrek, Melissa, and Yossi Farjoun. 2016. “Recommendations for open data science.” GigaScience 5 (1): 22. doi:10.1186/s13742-016-0127-4. http://dx.doi.org/10.1186/s13742-016-0127-4.
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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.
Published Version: doi:10.1186/s13742-016-0127-4
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870738/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:27320217
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