The Findable, Accessible, Interoperable, Reusable (FAIR) Lab Report

Linking data has become desirable in science today. Particularly, in consideration of big data sets, incongruous databases and data that has accumulated over time. Most laboratories have already addressed how to store laboratory data in an information system and have moved away from handwritten notebooks and reports, but now with the internet of things we have the potential to know real time how methods we use perform in other laboratories. There is a possibility to explore how precision, accuracy, repeatability, and reproducibility might be affected or improved based on an extended lab experience that might not have been addressed when the lab method was developed, validated and verified. However, terms and units are often different between the same or similar methods reducing data shareability both semantically and syntactically. Findability, Accessibility, Interoperability and Resuability (FAIR) are becoming commonplace to address big data, but it has not generally found its way into laboratory method descriptions. This presentation will address these principles for laboratory methods, not for the benefits that might be found in them, but how to make laboratory data FAIR at the time it is entered into a data reporting system or a LIMS and where it can be taken from there.