[Imports] [Talk-us] Integrating our open source data into OSM

Sean Lindsey sean at cybo.com
Thu Nov 9 22:11:05 UTC 2017

It seems that it's going to be hard to come up with a mass import solution
that every one can agree on. I would suggest that you take name, address,
phone number, website and category then try and re-geocode the data, but it
seems there is opposition to this method as well.

Another approach - as a way of keeping OSM and this data separate - is
having this POI data be a "secondary resource" that OSM users could "opt
in" to adding into their mapping set, but not be inherently owned or in
OSM's primary data set. For example, by loading up an OSM database you
could be linked to us or someone who creates a derivative of our data
suitable for importing into OSM maps. Thereby OSM does not feel responsible
for this resource but it still becomes available for people to import and
use via us or someone else. In this case we would want to work with someone
in order to create an OSM import-friendly version of this data. We have a
ton of indicators that tell us the quality and freshness of this data and
potentially we can rework in into something more usable.


On Thu, Nov 9, 2017 at 1:09 AM, Rory McCann <rory at technomancy.org> wrote:

> Hi Sean,
> On 09/11/17 07:14, Sean Lindsey wrote:
> > Thanks for all the feedback, we have put together some blogs to help
> > people figure out how to play with the data, to give people an idea of
> > what it is and how it was put together.
> >
> > https://blog.cybo.com/
> So that website says:
> OmniPlaces is formed from billions of records (literally), from tens of
>> thousands of sources (literally)
> Trying to figure out the licence for tens of thousands of datasets is
> practically impossible.... Licence issues are often a problem with
> imports, and I think this could be a show-stopper for this.
> On 09/11/17 05:54, Jo wrote:
>> If the addresses are in the data as well, we don't really need to use
>> the lat/lon coordinates.
> Not necessarily, depends where the addresses came from. If you had lots of
> lat/longs, and geocoded the, and threw away the lat/longs then you don't
> have a clean dataset.
> --
> Rory
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Sean Lindsey
Cybo Company
LinkedIn <https://www.linkedin.com/in/sean-lindsey/>
541-912-2505 <(541)%20912-2505>
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