The document discusses issues with data quality in public domain databases used for drug repurposing, noting errors that proliferate between databases as data is shared and sourced. It advocates for collaboration on data curation efforts, adopting standards for data representation and licensing, and developing apps and semantic web approaches to facilitate crowdsourcing data analysis and feedback. The goal is to improve data quality to enable more accurate computational modeling for drug discovery.