A data sharing platform is an application which allows real-time data exchange between various systems. These platforms combine scalability with security and governance, and the ease of use for business users who aren’t tech-savvy. These platforms aren’t designed to be static like traditional single-box solutions. They are built to support real-time data sharing. This includes supporting multiple consumers, producers divisions, clouds, divisions or companies, and high rates of data throughput as well as bidirectional flow and ongoing and one-time data exchanges.
In a medical setting, this involves sharing patient information that is not identifiable to other clinicians and researchers. This allows for collaboration on research projects in order to improve care and speed up the development of medical treatments. This allows for faster second opinions and aids the patient choose the best treatment options.
Data sharing can also make research more efficient. Researchers can share their resources and expertise and avoid duplicate work and allowing them to conduct greater trend analyses that cover a greater geographical or topic area. It can also reduce the need to invest money in new infrastructure, making it possible for researchers to use existing datasets.
Finally, in a public sector instance, Airbnb recently shared anonymized host data with New York City to help solve the issue of illegal short-term rentals. This demonstrates how sharing data can benefit both the public and private sector.