A data sharing tool is a software that allows real-time data sharing across multiple systems. These platforms typically combine security, scalability and governance, while facilitating use for non-technical business users. As opposed to traditional single-box options, they are designed to accommodate the continuous nature of real-time data sharing. This includes the ability to support multiple producers, consumers divisions, clouds, divisions, or companies, high rates of data processing and bidirectional flow, and allowing both continuous and one-time data exchanges.
In a medical setting this entails sharing de-identified patient records with researchers and other clinicians. This allows for collaboration on research projects to improve care and accelerate the development of medical treatments. This allows for quicker second opinions and assists the patient choose the best treatment options.
Data sharing can also aid in research efficiency. Researchers can share their resources and expertise which can reduce the need for duplication and allowing them to conduct greater trend analyses that cover an extended geographical or topic area. It can also reduce the need for monetary investment in infrastructure development by allowing researchers to leverage existing datasets.
Finally, in a public sector example, Airbnb recently shared anonymized host information with New York City to help solve the issue of illegal short-term rentals. This shows how data sharing can benefit both the private and public sector.