The Kiban‐Kyoshin network (KiK‐net) database is an important resource for ground motion (GM) studies. The processing of the KiK‐net records is a necessary first step to enable their use in engineering applications. In this manuscript we present a step‐by‐step automated protocol used to systematically process about 157,000 KiK‐net strong ground motion records. The automated protocol includes the selection of the corner frequency for high‐pass filtering. In addition, a comprehensive set of metadata was compiled for each record. As a part of the metadata collection, two algorithms were used to identify dependent and independent earthquakes. Earthquakes are also classified into active crustal or subduction type events; most of the GM records correspond to subduction type earthquakes. A flatfile with all the metadata and the spectral acceleration of the processed records is uploaded to NEEShub ( https://nees.org/resources/7849 , Dawood et al. 2014).
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