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We present DataDeps.jl: a julia package for the reproducible handling ofstatic datasets to enhance the repeatability of scripts used in the data andcomputational sciences. It is used to automate the data setup part of runningsoftware which accompanies a paper to replicate a result. This step is commonlydone manually, which expends time and allows for confusion. This functionalityis also useful for other packages which require data to function (e.g. atrained machine learning based model). DataDeps.jl simplifies extendingresearch software by automatically managing the dependencies and makes iteasier to run another author's code, thus enhancing the reproducibility of datascience research.

DataDeps.jl: Repeatable Data Setup for Replicable Data Science