Presentación de Elisa Martín, directora de Tecnología e Innovación de IBM, en el Encuentro Aporta 2014.

1. Plataforma de Turismo Inteligente
Dublinked: Supporting data-driven innovation in the Dublin region

2. Business model: Information Sharing Partnership
to provide a portal for sharing data from public and private
sources, kick-started by the local authorities
to generate a structured mechanism for engaging with
companies and research partners
To use this as a platform to drive economic development –
promoting Dublin as a world
leader in developing and
trialling urban solutions
Hidden Knowledge …. where would ,,
you look, to find a hospital in Dublin?
http://www-03.ibm.com/press/uk/en/pressrelease/41097.wss
https://www-304.ibm.com/connections/blogs/ibmireland/entry/innovative_new_data_sharing_network_to_create_commercial_opportunities1

3. Open Data: From Content to Outcomes
Factual & summary data about place
• Locations of things, e.g. assets, infrastructure, services.
• Basic mapping data to allow simple geo-location, mapping and visualisation.
• Statistical facts, e.g. demographics, economics.
Outcomes
• Attracts 'hobby' or 'citizen' developers creating simple, repetitive and often short-lived apps.
• Aids development of more accurate bu Non-sensitive operational data siness plans for new ventures.
•Released by domain based on user requests and city priorities.
•E.g. non real-time traffic, planning applications.
•Low latency / not time sensitive so can be curated semi-manually.
Outcomes
•Initial set of start-up companies emerging using this data operationally.
Filtered views of near real-time data
• Time-delayed access to examples of real-time streams from sensors.
• Traffic data e.g. trip times across the City updated each minute.
• Water-meter telemetry.
• Weather station data.
Outcomes
• Enables free exploration of operational data prior to negotiation of commercial terms to access
Sensitive data
• Can’t be made unrestricted wholly open data but to a can defined be securely service shared level.
according to appropriate protocols.
• Citizen data e.g. social programs, schools, health. City financial performance data.
• Overlaps with data gathered by national bodies.
Outcomes
• Enables cross-agency collaboration and 3rd party service delivery and innovation; but with significant
privacy and legal challenges

4. Business Impact: What we have learned so far
Licensing
Technical standards
Legal and licensing
Security
Business model
Data protection
Do you have an open data licence?
Just enough and no more.
Clear usage terms are vital for business
Of course!!
Prepare for success, or pay the price.
Apply the rules, be ready to fix issues
Before starting out …. are you ready, and resourced, to:
•Access the required skills (mapping, IT, dynamic data, analytics)
•Build new external relationships
•Maintaining momentum and responding to demands
•Authorisation in shared services
• Issues for contracts, procurement and outsourcing

5. Moving beyond public data
Waste Collection
Cross tabulate
public private
data
Property management
Environment
Demographics
Business & Retail
Commercial Valuations and rates
Tourism
Transport
Crime
Heritage
Mapping
Health

6. From Dublinked, ‘Inspirations’ page: http://www.dublinked.com/?q=apps