Datasets Cured and Enriched with Provenance from the National Vaccination Campaign Against COVID-19

The COVID-19 pandemic is a global threat. If, on the one hand, weaccount for many losses, on the other hand, the generation of datasets and ur-gent analytical demands has accelerated. Among the combat strategies, vacci-nation and data-centered epidemiological investigations stand out. This datasetpaper presents the process of building cured and annotated datasets with prove-nance metadata. The main dataset is based on the registration data of the Vacci-nation Campaign against COVID-19 in Brazil. The dataset contains thousandsof records processed up to March 2021. The data were analyzed, investigated,treated and cross-checked with other sources, in order to correct and comple-ment them, resulting in cured datasets and aligned to the FAIR principles.

新型冠状病毒肺炎（COVID-19）大流行是全球性公共卫生威胁。一方面，这场疫情造成了海量损失；另一方面，各类数据集的涌现与紧急分析需求也大幅提速。在诸多疫情防控策略中，疫苗接种与以数据为核心的流行病学调查尤为突出。本数据集论文阐述了带有溯源元数据的经整理与标注数据集的构建流程。核心数据集基于巴西新型冠状病毒肺炎疫苗接种登记数据构建，包含截至2021年3月的数千条经处理的记录。研究团队对数据开展了分析、核查、清洗，并与其他数据源交叉比对，以修正与补充原有数据，最终得到经整理的合规数据集，且符合FAIR（Findable, Accessible, Interoperable, Reusable）数据原则。