“…The wide variability in Earth Science data formats and models, their inherent multi-dimensionality (x, y, z, chemistry, petrology, time, temperature and pressure) and the complexity of big data processing necessitate the development of tailored analytical techniques and tools for FAIR geochemical data distribution (Baumann et al 2016). To facilitate the accessibility, systematic collation, assessment and processing of geochemical and geochronological data acquired from geological specimens, numerous structured databases have been developed globally (He et al 2019). They range from rock databases (e.g., NAVDAT, Walker et al 2004, Walker et al 2006, to geochemical surveys (e.g., China National Multi-Purpose Geochemical DB, Liu et al 2012), archives of geochronology and isotope data (e.g., DataView, Eglington 2004) and reference materials (GeoReM, Jochum et al 2005), varying in scope from national (e.g., Petlab, Strong et al 2016) to global scales (e.g., EarthChem, Lehnert et al 2004).…”