[openstreetmap/openstreetmap-website] Add contributor info for Czechia for copyright web page (PR #4170)

Honza Cibulka notifications at github.com
Tue Aug 29 08:10:20 UTC 2023


I agree with @pnorman that this doesn't make much sense from a legal standpoint, and I'd like to take it further: most of the data in question don't seem to meet the criteria for creative contribution, which means they wouldn't qualify for copyright protection. The only remaining question is a _sui generis_ right, but considering the current EU framework for reusing data generated by the public sector, these rights can't be used to restrict data usage. Consequently, the CC BY license declared by the Czech cadastral bureau holds no validity and as a result, we can integrate the data into OSM without any questions asked.

But there's a copyright website listing providers of public sector data from other EU countries. Given that the EU generally follows similar intellectual property and data reuse laws, one might question the purpose of such a resource. One possible explanation I see is that it serves as a diplomatic tool to facilitate negotiations with public sector bodies, ensuring swift access to data for integration into OSM, thereby making it accessible to everyone.

And taht is precisely why we're requesting an update. The data in question constitute a substantial collection of geodata, including regularly updated aerial imagery datasets, it's the Czech equivalent of the UK's Ordnance Survey. Incorporating this data into OSM would greatly enhance the mapping of Czechia. It's puzzling why public sector providers from other countries are featured on this list, yet Czech providers can not.

Certainly, we could take @pnorman's suggestion and publicly highlight the bureau's refusal on a wiki page to shame them into reconsidering their licensing approach. However, considering my five-year-long legal case to open this data, involving multiple court instances including the constitutional one, I'd recommend experimenting with this strategy on a less valuable dataset first ;)

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