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Data science has transformed fields such as computer vision and economics. The ability of modern data science methods to extract insights from large, complex, heterogeneous, and noisy datasets is beginning to provide a powerful complement to the traditional approaches of experimental motion capture and biomechanical modeling. The purpose of this article is to provide a perspective on how data science methods can be incorporated into our field to advance our understanding of gait biomechanicsdoi:10.1016/j.jbiomech.2016.10.033 pmid:27814971 pmcid:PMC5407492 fatcat:irmnfnaubrehbahvyizhdtjgni