Data interoperability refers to the ability of different systems or applications to create, access, exchange, integrate, and use data in a coordinated manner. Interoperable data will be able to be shared across multiple platforms and systems while still being usable, actionable, and understandable. Data interoperability is a must for any organization or entity where different systems need to work together.
In order for data to be interoperable, there must be a data standard that ensures the data can be shared and used across different systems. The data go through an integration process, which is combining it into one view. There need to be application programing interfaces (APIs) that allow the different systems to communicate with each other and exchange the data. Finally, it needs to be ensured that the meaning of the data is preserved during the exchange and that the data exchange formats are compatible between the systems being used.
There are some key issues that prevent organizations from instituting data interoperability. Security issues are always present when data is being exchanged and moved around through different systems. Standardization can pose an issue as different systems will usually not have the same standards. Data silos are a common form of data storage that poses an issue, as they are often isolated from other systems.
If implemented successfully, there are huge benefits to data interoperability. It increases efficiency, makes it easier for different departments to work together, leads to improved decision making, and can save costs.
Data interoperability makes collaboration and data exchange among different systems and organizations much easier. While hurdles to installing interoperability plans exist, if they are overcome it can be hugely beneficial to an organization.