FAIR has many meanings, but in the digital world it is an acronym. It stands for Findable, Accessible, Interoperable, and Reusable – principles that make data truly useful. FAIR principles are often applied to scientific research data, but they apply equally to healthcare, government agencies, and legal and judicial systems. When your organization images its paper documents, the resulting data is FAIR.
- Findable – Locating specific data in paper documents is a slow manual process. Finding it in a digital document is as fast as the speed of electricity.
- Accessible – Paper documents take time to pull from files, time to copy, time to distribute. They’re easy to damage and easy to lose. But once a paper document is imaged, it is safe and secure; access is managed and tracked; and distribution takes just moments.
- Interoperable – Unstructured data is the greatest obstacle to interoperability, and paper is the ultimate unstructured data (affecting Findability and Accessibility as well). In contrast, the structured data of imaged documents is usable by different systems in different organizations. For example, doctors’ offices, hospitals, and pharmacies can send and utilize patient data across systems.
- Reusable – When data is “trapped” on paper, it’s time-consuming to find and extract it for re-using in combination with other data. But the data in imaged documents can be extracted instantaneously and re-used with other data sets to gain new insights and increase the data’s ROI.
When paper documents are converted to digital data, the usefulness of the data is multiplied. Make data FAIR, and make it an even more valuable asset.
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