  High-temperature superconducting cuprates have the potential to be
transformative in a wide range of energy applications. In this work we analyse
the corpus of historical data about cuprates using materials informatics and
re-examine how their structures are related to their critical temperatures
(Tc). The available data is highly clustered and no single database contains
all the features of interest to properly examine trends. To work around these
issues we employ a linear calibration approach that allows us to utilise
multiple data sources -- combining fine resolution data for which the Tc is
unknown with coarse resolution data where it is known. The hybrid data set
constructed enables us to explore the trends in Tc with the apical and in-plane
copper-oxygen distances. We show that large regions of the materials space have
yet to be explored and highlight how novel experiments relying on
nano-engineering of the crystal structure may enable us to explore such new
regions. Based on the trends identified we propose that single layer Bi-based
cuprates are good candidate systems for such experiments.
