light-data-engineering
Light Research Mainline Step 2 · Data Engineering: **Data you can find and afford to use** (source/license/version/size/split) + **Judge data feasibility before proposing an idea** (is the data enough to support the research/statistical power) + **Prevent data leakage** (a high-frequency landmine for top-conference rejections). When to use: the user wants to find/select/download a public dataset, or has provided data and asks "can I do research with this/is it enough/is the quality acceptable"/…