My domain is more bioinformatics than GIS, but the way I imagined it was that if one was arguing that [thing] data is better, they’re arguing that if more people recognised the innate benefits of [thing], we wouldn’t have to rely on software that uses [other thing] so much, and that to properly utilise [thing], it would take a bit of radical reworking of workflows, but there would be significant long term net benefit.
Basically, I think arguments like this tend to be more grounded in the socio-cultural practices of a research field than the absolute technical merits of an approach. Like in my domain, a DNA sequence is just a long sequence of 4 different letters (A, T, G & C), but there’s a bunch of ways we can encode that data into a file, many of which have trade-offs (and some of which are just an artifact of how things used to be done)
In the past, with similar issues, I’ve had good success with requesting the book on Zlib, especially newer books.