Data publication with DOI assignment has become common practice. The Citation Service for Coupled Model Intercomparison Project Phase 6 (CMIP6) was requested by the scientific panel WGCM, which is part of the World Climate Research Programme (WCRP) to enable references of the CMIP6 data in the upcoming Sixth IPCC Assessment Report (AR6). Expectations for data citations include aspects of data usage metrics to receive credit and reproducibility of published research findings. These two are difficult to combine, because a meaningful data usage metrics requires information on large data collections such as experiment data while reproducibility relies on individual datasets. In addition, data usage metrics rely on data users citing the data in the reference list of a scholarly publication and the publisher to provide data references in the articles’ metadata. Neither is a given. Organizations like the Coalition for Publishing Data in the Earth and Space Sciences (COPDESS) play an important role for the required ongoing community change. The Reliquaries approach together with PID Graph implementations being developed in the Data Citation Community of Practice subgroup shows promise for combining reproducability and credit expectations. The contribution will present survey results on CMIP6 participants’ expectations, discuss gaps in the current citation system and investigate, how new ideas can help to close these gaps. Reference: Stockhause, M. and Lautenschlager, M., 2017. CMIP6 Data Citation of Evolving Data. Data Science Journal, 16, p.30. DOI: http://doi.org/10.5334/dsj-2017-030