A data sharing platform is a platform that allows real-time data exchange between multiple systems. These platforms offer scalability, security and governance, and user-friendliness for business users who aren’t technically skilled. These platforms are not intended to be static, unlike traditional single-box solutions. They are built to support real-time data sharing. This includes the ability to support multiple producers, consumers, 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 setting this involves sharing patient information that is not identifiable to other doctors and researchers. This allows collaboration on research projects to accelerate the development of new treatments for medical conditions and improve the quality of the quality of care. This enables quicker second opinions and assists the patient determine the best treatment options.
Sharing data can also aid in research efficiency. Researchers can pool their resources and knowledge to avoid duplication of effort and perform larger trend analysis over a greater geographic or topic area. It can also decrease the need to invest money in infrastructure development by permitting researchers to make use of existing datasets.
Finally, in a public sector instance, Airbnb recently shared anonymized host information with New York City to help deal with concerns about illegal short-term rentals. This is a good example of how sharing data can benefit both the private and public sector.