An ad-hoc approach to acquiring and using data can seem simple at first, but leaves one ill-prepared to deal with questions like: "where did the data come from?", "how was the data processed?", or "am I looking at the same data?". Generic tools for managing data (including some in Julia) exist, but suffer from limitations that reduce their broad utility. DataToolkit.jl provides a highly extensible and integrated approach, making robust and reproducible treatment of data and results convenient.