1) Historically, chemistry relied on a few "trusted sources" for property data like melting points, but technology now allows a more transparent and data-driven approach using multiple sources. 2) An analysis of melting point data for several compounds from various sources found inconsistencies, outliers, and errors that highlighted issues with solely relying on a single source. 3) Making assumptions and data sources open allows for transparency, validation of data, and faster/better scientific progress as evidenced by several examples of collaborative melting point analysis and predictive models.