Applying FAIR Principles to Lab Data: Six Challenges You Might Face
Clinical diagnostic laboratories can gain a significant advantage by ensuring their data conforms to FAIR principles — that is, data is easily findable, accessible, interoperable, and reusable. But many labs don’t recognize the importance of FAIR data or they find that implementing these principles is challenging.
At Semaphore, we believe FAIR data sets forward-looking labs apart from their peers, giving them advantages when it comes to collaborating with other organizations and integrating new tools into their existing lab systems.
In this post, we discuss what FAIR data principles are, the benefits for labs that apply them, and six of the common challenges you might experience if your lab chooses to implement FAIR data.
