Criteria for evaluating and qualifying public datasets obtained from the Brazilian Federal Government's Open Data Portal - dados.gov

These criteria (file 1) were drawn up empirically, based on the practical challenges faced during the development of the thesis research, based on tests carried out with various datasets applied to process mining tools. These criteria were elaborated empirically, based on the practical challenges faced during the development of the thesis research, based on tests conducted with various datasets applied to process mining tools. These criteria were prepared with the aim of creating a ranking of the datasets selected and published (https://doi.org/10.6084/m9.figshare.25514884.v3), in order to classify them according to their score. The criteria are divided into informative (In), importance (I), difficulty (D) and ease (F) of handling (file 2). The datasets were selected (file 3) and, for ranking, calculations were made (file 5) to normalize the values for standardization (file 4). This data is part of a study on the application of process mining techniques to Brazilian public service data, available on the open data portal dados.gov.本研究采用的判定准则（文件1）系以经验法制定，其依据为学位论文研究开发过程中遭遇的各类实际挑战，以及针对多款应用于过程挖掘（Process Mining）工具的各类数据集开展的测试工作。制定该准则的目的是为已遴选并公开的数据集（https://doi.org/10.6084/m9.figshare.25514884.v3）构建一套排名体系，以便依据评分对数据集进行分类。该准则分为信息性（In）、重要性（I）、难度（D）及易用性（F）四个维度（文件2）。已完成数据集遴选工作（文件3）；为生成排名，我们开展了数值归一化计算以实现标准化（文件4、文件5）。 本数据集属于一项将过程挖掘技术应用于巴西公共服务数据的研究，相关数据可在开放数据门户dados.gov获取。