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.

本套筛选标准（文件1）系基于学位论文研发过程中遭遇的实际挑战，结合应用于流程挖掘（Process Mining）工具的多款数据集开展的测试实证制定并细化而成。制定本套标准的目的是对已遴选并公开的数据集（https://doi.org/10.6084/m9.figshare.25514884.v3）构建排序体系，依据各项得分对数据集进行分类评级。本套标准分为信息性（In）、重要性（I）、处理难度（D）与处理便捷性（F）四个维度（文件2）。已完成数据集遴选工作（文件3），并为构建排序体系开展了数值归一化与标准化计算，其中数值归一化操作对应文件4，整体计算流程对应文件5。本数据集是一项关于将流程挖掘技术应用于巴西公共服务数据的研究的组成部分，相关数据可在开放数据门户dados.gov获取。