A data sharing platform is a system which allows real-time data exchange between multiple systems. These platforms offer scalability, security and governance, as well as ease of use for users who aren’t tech-savvy. These platforms are not intended to be static, as are traditional single-box solutions. They are built to facilitate real-time data sharing. This includes supporting multiple producers, consumers divisions, clouds, divisions, or companies, high levels of data flow and bidirectional flows, as well as enabling both continuous and one-time data exchanges.
In a medical context, this involves sharing patient records that are not identifiable to other doctors and researchers. This allows collaboration on research projects that accelerate the development of new treatments for medical conditions and improve the quality of treatment. It also allows for faster second opinions and assists patients select the most effective treatment options.
Data sharing can aid in research efficiency. Researchers can pool their resources and knowledge which can reduce the need for duplication and allowing them to conduct larger trend analyses over an extended geographical or topic area. Researchers can also save money by using existing data.
Finally, in a public sector example, Airbnb recently shared anonymized host data with New York City to help to address concerns regarding illegal short-term rentals. This is a good example of how sharing data can benefit both the private and public sector.