This document discusses the need for new metrics to measure the impact and value of open data beyond traditional metrics like usage, downloads, and visualizations. It proposes a new model for data metrics that examines data across three dimensions: spatial (location), temporal (time), and topical (subject matter). For each dimension, examples are provided like analyzing how data relates to neighboring datasets, its history over time, or topics through ontologies. The model is applied to Pablo Picasso's painting Guernica to demonstrate how its spatial, temporal, and topical attributes could be measured. Feedback is sought on whether these three dimensions capture enough context or are too complex, and how well different open data sources incorporate these dimensions.