Gavin Chait 🧸
@jonny I get the principle, & it may work for relatively mainstream data (sort of like OpenStreetMap labelling) but a _lot_ more challenging for specialist / niche data where the learning curve is steep & the result interesting only to a handful of specialists.
I'm not sure what good potentials would be, other than the obvious Wikipedia & OpenStreetMap, & they still need paid staff to build software & maintain data integrity, even if you took away hosting costs.
What is your ideal example?
Gavin Chait 🧸
@jonny my 2 cents based on my experience with my https://openlocal.uk data research project... Only a small number of research specialisms permit grant funding for longitudinal data research. The costs aren't just hosting, but mostly curation. So the work isn't done or is precarious, or is forced to be semicommercial to keep the lights on.
I am a data scientist, researcher, engineer, sometime-traveler, and African SFF author. I lead software- and systems development in open data and open science, with a focus on ethics and curation. I am fascinated by the frontiers of human progress: innovation vs ignorance; wealth vs poverty, migration vs stasis. I also drink a great deal of coffee.#DataScience, #OpenData, #OpenScience, #author, #ScienceFiction, #African, #SFF, #coffee, #searchable
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