A data sharing platform is a device which allows real-time data exchange across various systems. These platforms offer scalability, security and governance, and ease of use for users who are not technically skilled. These platforms aren’t designed to be static like traditional single-box solutions. They are built to enable real-time data sharing. This includes the ability to support multiple producers, consumers cloud, divisions or companies, and high rates of data throughput and bidirectional flow, and allowing ongoing and one-time data exchanges.

In a medical environment, this involves sharing patient information that is not identifiable to other clinicians and researchers. This allows for collaboration on research projects to improve care and accelerate the development of medical treatments. It also facilitates quicker second opinions and helps patients decide on the best treatment options.

Data sharing can also help research to be more efficient. Researchers can pool resources and information to avoid duplication of effort and perform larger analyses of trends across a larger geographic or topic. It can also reduce the need for monetary investment in new infrastructures by allowing researchers to draw on existing datasets.

Finally, in a public sector example, Airbnb recently shared anonymized host data with New York City to help solve the issue of illegal short-term rentals. This illustrates how sharing information can benefit both the public and private sector.

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