 Abstract fatigue is a process of mechanical degradation that is usually assessed based on empirical rules and experimental data obtained from standardized tests. These data are then reported in SN, the stress life relation, N, the strain life relation, and D8, DN, K, the relation between the fatigue crack growth rate and the stress intensity factor range, data. Additionally, the performance of additive manufacturing, AM, alloys can be compared with conventional alloys, despite data dispersion and system deviation. This comparison is made possible by the fatigue data AM 2022 database, which is formatted in compact structures, hosted in an open repository, and analyzed to show their patterns and statistics. Furthermore, the quality of data collected from the literature is measured by defining rating scores for datasets reported in individual studies and through the fill rates of data entries across all the datasets. Finally, the procedures of data extraction and analysis are outlined and the tools are publicly released. In conclusion, this paper suggests a unified language of fatigue data to regulate data reporting for the fatigue performance of materials, thus facilitating data sharing and the development of open science. This article was authored by Xi'en Zhong and Xi Pingxiu. We are article.tv, links in the description below.