A data sharing tool is a system that enables real-time data sharing across multiple systems. These platforms combine scalability with security and governance, and ease of use for business users who are not tech-savvy. In contrast to traditional single-box solutions, they are designed to accommodate the continuous nature of real-time data sharing. This includes supporting multiple consumers, producers, clouds, divisions or companies, and high rates of data processing and bidirectional flow, and allowing ongoing and one-time data exchanges.
In a medical setting, this involves sharing patient records that are not identifiable to researchers and other clinicians. This enables collaboration on research projects that accelerate the development of new treatments for medical conditions and improve the quality of the quality of care. This facilitates quicker second opinions and aids the patient choose the best treatment options.
Data sharing also allows research to be more efficient. Researchers can pool their knowledge and resources to avoid duplication of effort and allowing them to conduct larger trend analyses over the entire geographical or topic area. It can also decrease the need for monetary investment in new infrastructure by permitting researchers to make use of existing datasets.
Airbnb shared host data in anonymity with New York City as an example of a public sector solution to the issue of illegal short-term rentals. This is a good example of how sharing data can benefit both the public and private sector.