It is time for research software to be treated as a first-class digital research object. The FAIR principles described in this paper provide a means for technologies that have been applied to research data to help to make research software FAIR in a completely analogous manner.
ASL-BIDS is a fantastic example of the kind of community-based reporting guideline that we describe as an essential component of data FAIRness in our recent Research Data Community posting and in the associated paper in Scientific Data. ASL-BIDS offers an excellent means to formalize the attributes of a class of neuroimages stored in research repositories. One can imagine embedding ASL-BIDS metadata within other, more comprehensive metadata to describe not only the images and the imaging techniques, but also the rationale for the experiment, the subjects, and the experimental protocol that led to the images in the first place. This degree of metadata "richness"—which goes beyond the acquired images and includes a description of the complete experiment— is needed for datasets related to ASL images truly to to be FAIR in accordance with the FAIR principles.