The data sets used in statistics education have changed over time, from mathematically “well-behaved” ones that facilitated computation, to more context-rich sources and now, with the increasing influence of data science practices, to “found” data, often from open data sites. As data sources change, it is important for educators to take a fresh look at the ways we engage students in thinking about the processes that generated the data they encounter. The use of already collected data requires particular attention because many of the decisions that went into the processes of obtaining the data are hidden. Students need to learn to ask “Who, When, How, Where, and Why?” data were collected and to wonder if the data really measure what needs to be measured. Our advocacy in this paper is to deepen the educational treatment of data production to better reflect the current and future practice of statistics and data science.

中文翻译：

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当我们考虑数据时要考虑什么

统计教育中使用的数据集随着时间的推移发生了变化，从促进计算的数学上“表现良好”的数据集到更丰富上下文的来源，现在随着数据科学实践的影响越来越大，“发现”数据，通常来自开放数据站点。随着数据源的变化，教育工作者必须重新审视我们让学生思考生成他们遇到的数据的过程的方式。使用已经收集的数据需要特别注意，因为在获取数据的过程中的许多决定都是隐藏的。学生需要学会问“谁、何时、如何、在哪里和为什么？” 收集数据，并想知道数据是否真的衡量了需要衡量的内容。