A data sharing platform is a system that lets real-time data exchange across different systems. These platforms are scalable and offer security and governance, as well as ease of use for business users who aren’t technically minded. These platforms are not intended to be static, like traditional single-box solutions. They are built to allow real-time sharing of data. This includes the ability to support multiple producers, consumers divisions, clouds, divisions or companies, as well as high rates of data flow and bidirectional flow and both continuous and one-time data exchanges.
In a medical setting, this means sharing patient records deidentified to researchers and other clinicians. This allows collaboration on research projects to improve care and speed up the development of medical treatments. It also facilitates faster second opinions and assists patients choose the most appropriate treatment options.
Data sharing can help researchers to be more efficient. Researchers can pool their resources and knowledge to avoid duplication of efforts and also perform a larger analysis of trends over a wider geographical or topical area. Researchers can also save money by using existing datasets.
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 demonstrates how sharing data can benefit both the private and public sector.
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