A critical aspect of shared data is using an easily accessible interface that is interoperable across a wide range of heritage institutions. An innovative approach to heritage science, where data is generated about the materiality of heritage materials, is linking this data back to a visual rendering of the heritage material to begin a process of linked data and integration between science and humanities. Using the International Image Interoperability Framework (IIIF), the shared canvas data model is being expanded for integrating linked scientific analyses to this digital surrogate. There are challenges with this approach for spectral imaging data due to the additional required layers of metadata in the spectral, spatial and temporal modes, which need to be consistent, and persistent, across sets of canvases.
Fenella. G. France, Meghan Wilson, Chris Bolser, Alberto Campagnolo, "Crosswalking or Jaywalking? The Visualization of Linked Scientific and Humanities Data" in Proc. IS&T Archiving 2018, 2018, pp 115 - 119, https://doi.org/10.2352/issn.2168-3204.2018.1.0.25