Post #4196420

Boosting from yesterday with additional thoughts about this piece of work on future costs of @scholcomm with @MsPhelps 1. This is a pretty cool demonstration of using #openresearchinformation at scale. We query the whole of OpenAlex and OpenAIRE data with a complex set of organisation identifiers. The use of ROR - Research Organization Registry identifiers in both sources makes this not just possible, but pretty easy. 2. Because we can use the data at scale with no license restrictions we can combine it. 3. It's not just about big data. Releasing small datasets of locally curated data enables new kinds of analysis. Here both Bibsam and CAUL released relevant data sets that we could use to enrich the analysis. 4. Finally, we no access to fancy exclusive compute capacity. This was all done using easily accessible tools and resources. While they're not free, they're easy to access and surprisingly cheap to use, even at this scale https://doi.org/10.5281/zenodo.20957444