1. Engineering Talent
2. Broadband Connectivity
3. Real-time API of NYC
Data and Services
4. Faster Procurement Process
5. Visibility of
RFPs
- Land use
- Zoning
- ESM topo mapping
- Enterprise Stereoscopic Model
- The data behind this map of year built:
http://www.toronto.ca/torontomaps/catalogue/pdf/m20.pdf (of course
Teranet/MPAC would have to OK that one)
- City Water/Sewer Digital Map data
> neil....@l5consulting.net <mailto:neil....@l5consulting.net>
On 12-02-24 4:20 PM, Brian Sutherland wrote:
> Hi,
>
> I think Marcel's list is more focussed around the type of
> datasets...more to the point of this group.
>
> City Water/Sewer Digital Map data is a really good one, you can put it
> together with the tree database to figure out where tree roots are
> affecting city services, or 'where to dig'.
>
> A UK company did this recently.
> http://www.perey.com/AugmentedRealityForBasel/winners-and-awards/#Mashup%20Experience
>
>
> --
> Brian Sutherland
>
> On Fri, Feb 24, 2012 at 4:10 PM, Marcel Fortin
> <marcel...@utoronto.ca <mailto:marcel...@utoronto.ca>> wrote:
>
> Here are my top six...not necessarily in this order
>
> - Land use
> - Zoning
> - ESM topo mapping
> - Enterprise Stereoscopic Model
> - The data behind this map of year built:
> http://www.toronto.ca/__torontomaps/catalogue/pdf/m20.__pdf
> <http://www.toronto.ca/torontomaps/catalogue/pdf/m20.pdf> (of course
> Teranet/MPAC would have to OK that one)
> - City Water/Sewer Digital Map data
>
>
> On 12-02-24 8:01 AM, Neil McEvoy wrote:
>
> Hi folks
> In the New York 'Digital City Roadmap' plan, one key theme was
> stimulating local economic innovation, through more open data
> startups, etc.
> As part of reviewing this they interviewed these entrepreneurs,
> to ask
> for their top 5 wish list from the city, and these were listed as:
>
> 1. Engineering Talent
> 2. Broadband Connectivity
> 3. Real-time API of NYC Data and Services
> 4. Faster Procurement Process
> 5. Visibility of RFPs
>
> What would be your Top 5 for Toronto?
> Cheers,
> ---
> Neil McEvoy
> Founder and President
> Level 5 Consulting
> http://L5Consulting.net
> neil....@l5consulting.net
> <mailto:neil....@l5consulting.net>
> <mailto:neil.mcevoy@__l5consulting.net
> <mailto:neil....@l5consulting.net>>
>
>
>
>
>> *From:*Brian Sutherland <mailto:bksuth...@gmail.com>
>> *To:*dat...@googlegroups.com <mailto:dat...@googlegroups.com>
>> *Sent:*Friday, February 24, 2012 4:20 PM
>> *Subject:*Re: [DataTO] What is the Toronto Top 5 Open Data Wishlist?
>>
>> Hi,
>>
>> I think Marcel's list is more focussed around the type of
>> datasets...more to the point of this group.
>>
>> City Water/Sewer Digital Map data is a really good one, you can
>> put it together with the tree database to figure out where tree
>> roots are affecting city services, or 'where to dig'.
>>
>> A UK company did this recently.
>> http://www.perey.com/AugmentedRealityForBasel/winners-and-awards/#Mashup%20Experience
>>
>>
>> --
>> Brian Sutherland
>>
>> On Fri, Feb 24, 2012 at 4:10 PM, Marcel
>> Fortin<marcel...@utoronto.ca
>> <mailto:marcel...@utoronto.ca>>wrote:
>>
>> Here are my top six...not necessarily in this order
>>
>> - Land use
>> - Zoning
>> - ESM topo mapping
>> - Enterprise Stereoscopic Model
>> - The data behind this map of year
>> built:http://www.toronto.ca/__torontomaps/catalogue/pdf/m20.__pdf
As well, many would argue that any database/spreadsheet/geospatial data
file is uncopyrightable to start with. Copyright law is pretty clear
that data cannot fall under copyright. Algorithms do, but that has more
to do with any software that may have been created around the data, not
the data themselves.
I guess my point was though, oddly expressed as it was, that there are no real copyright issues that are not under their own government control that prevents them from releasing data. In other words, it's basically policy rather than law that prevents municipal governments from releasing data. Which is something much easier to dispose of compared to law.
As well, many would argue that any database/spreadsheet/geospatial data file is uncopyrightable to start with. Copyright law is pretty clear that data cannot fall under copyright. Algorithms do, but that has more to do with any software that may have been created around the data, not the data themselves.
Here is the reason and context for my questions, 'Canada's Data Strategy' -
http://canadacloud.biz/2012/02/27/canadas-data-strategy/
I'd especially welcome some comments from you guys,
cheers Neil.