CurateND 2020-04-02 Data for INF 7491

This dataset contains the raw and sanitized data about Curate privacy settings, collected April 2nd, 2020 from the CurateND anotation test server, along with the R code used to convert the raw data to the sanitized data. The data is being used as part of INF 7491, a graduate-level data analysis course held Winter Semester 2020 at Wayne State University. The raw data consists of a RDF entries for every attribute in every CurateND pid, stored as RDF triples. The processed data is stored a an R data frame named **curatend_data** Also included is the R Markdown of a class Presentation concerning this dataset. And executable capsule of the R code, and the graphs it produces, can be found at [https://doi.org/10.24433/CO.2777118.v1](https://doi.org/10.24433/CO.2777118.v1)本数据集包含2020年4月2日从CurateND标注测试服务器采集的Curate隐私设置原始数据与脱敏数据，以及用于将原始数据转换为脱敏数据的R代码。该数据集被用作韦恩州立大学（Wayne State University）2020年冬季学期开设的研究生级数据分析课程INF 7491的教学素材。原始数据以资源描述框架（RDF）三元组的形式存储，涵盖每个CurateND持久标识符（pid）下所有属性的RDF条目。经处理后的数据存储于名为**curatend_data**的R数据框中。本数据集还包含一份用于介绍该数据集的课程演示文稿的R Markdown文件。该R代码及其生成图表的可执行容器可在[https://doi.org/10.24433/CO.2777118.v1](https://doi.org/10.24433/CO.2777118.v1)获取。