Food and feed health risk notifications in the European Union: a historical dataset of the issues registered in the Rapid Alert System for Food and Feed portal.

In the actual globalized world, the transportation of goods between any country is something normal. Considering that the protocols in quality and security vary from one country to another, there is a risk with the products that do not comply with the legislation of a country cross the border. In the case of edible products, the importance of avoiding this kind of situation is even higher. Since 1979, European Union members were obligated to register any risk to public health-related with the food and feed that is traded alongside the territory. This information has been registered in a portal called Rapid Alert System for Food and Feed (RASFF). The content of this paper provides a deep description of a set of records that goes from September 1979 to December 2020 both included. Each record represents an issue registered by RASFF workers containing a set of generic features that all issues have in common, and a set of features that are considered details of the issue. The nature of the data in these features is only categorical except in one case, which is a string of characters that correspond to a subject. All the data was downloaded by using an automatic scrapper and using techniques to clean and transform it, so they can be stored as a .csv file. The potential use of the dataset is related to feature engineering, predictions, a search of behavior patterns, etc.在全球化日益深化的现实语境下，各国间的货物运输已是常态。鉴于各国在质量与安全监管标准上存在差异，不符合进口国法规的产品跨界流通存在风险。对于食用类产品而言，规避此类风险的重要性尤为突出。自1979年起，欧盟成员国需对其管辖范围内贸易的食品及饲料所关联的各类公共健康风险进行登记备案。相关信息被收录于名为食品和饲料快速预警系统（Rapid Alert System for Food and Feed，RASFF）的官方平台。本数据集涵盖1979年9月至2020年12月期间的全部登记记录（含首尾两个时间节点）。每条记录对应RASFF工作人员登记的一起食品安全事件，包含所有同类事件共有的通用特征，以及该事件专属的细节特征。除一项用于描述事件主题的字符串特征外，其余所有特征均为分类变量。本数据集通过自动爬虫工具采集，并经清洗、转换等预处理后存储为.csv格式文件。该数据集可应用于特征工程、预测建模、行为模式挖掘等研究场景。