The power of analytics increases with the amount of data available; more data allows for a more comprehensive understanding of context and potential impacts. Large volumes of data exist but there is yet to be a single integrated platform to visualize and interact with disparate data types despite the potential that integration has for providing new ways of collaboration and analysis. Further complicating the issue of available but non-useable data is that many are encoded in a proprietary format. Proprietary formats limit data persistence, integration, and accessibility by trapping data within closed systems. Although vendor-specific formats and software offer robust security measures, advanced functionality, and some compatibility with other proprietary systems, their industry dominance is problematic for innovation and collaboration. Large amounts of data are potentially available, however, due to barriers such as cost, expertise, and vendor lock-in, they are not accessible to most users. Data within closed systems only exists as long as the provider maintains support, which means there is a risk of data being lost if the system ever crashes or is discontinued. Furthermore, proprietary formats are selectively compatible with other technologies. This means that integration and access are at the discretion of the vendor. Democratizing data frees it from proprietary systems and provides an alternative space to host an open collection so that anyone has access to usable data to make informed decisions, solve problems, and improve workflows.