proDataMarket presentation at "Linked Data Europe: Big Geospatial Data"
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Transcript of proDataMarket presentation at "Linked Data Europe: Big Geospatial Data"
How can we innovate (and make money) with property-related Open Data?
Why property data?
One of the most valuable datasets managed by governments worldwide
Extensively used in various domains by private and public organizations
Some challenges in working with property data
• Difficult to access
• Cross-sectors
• Data is highly heterogeneous and possibly large
• Data quality
• Time-consuming integration
• Lack of innovation
• …
proDataMarket project goals
• To make property data more accessible, more usable and easier to understand
• To make it easier for: • Property data providers to publish and distribute their data
• Data consumers to find and access property data needed for their businesses
proDataMarket project in numbers
2.5 Years(2015-2017)
€4.5M
20+Datasets
Data Contextualization
proDataMarketPlatform
Marketplace
Consortium products and services (CCST, CCS, CAPAS, SoE, RVAS, SIM, NNAS)
3rd party data-driven services
Customer segments
Data LinkingData Hosting
Data Discovery and Search
Data Access
Data Workflows
Publicly available free data
Consortium proprietary data
3rd party proprietary data
Data Providers/Owners
Business products and services
Ad
min
istr
atio
n &
O
per
atio
ns
Mo
netizatio
n
Banks
Marketing Departments
…
….
Farmers and Land Owners
Public Administration
….
….
Dat
a V
alu
e C
hai
ns
Marketplace portal
Consortium datasetsFree datasets 3rd party datasets
• Stakeholders:• Public administration (e.g. FEGA in
Spain)• Farmers and land owners• Intermediaries (e.g. service providers)
• Problems:• Unfair grant assignment and
expenditure on audits• Incorrect grant assignments
• Farmers could loose close to 30% of funding
CAP funds assignments
8
CAPAS funds assignment service
9
Result
10
Current status: New static datasets • Permanent pasture• Landscape elements• Pollution by fertilizers
Forecast results:• Dynamic datasets. Parcel information asfive-stars datasets• Better and non-subjective data• Funds report: Is overfunded (red)-
underfunded (blue) your parcel? Has your parcel any environmental feature that could modify its CAPs status?
Importance
• Exploitation and Valorisation of cross-sectorial data sources;
• Publication and use of currently collected but unused datasets in the distribution of funds algorithm;
• New data processing algorithms over LIDAR Big Data;
• Cadastre and Ownership information enriched with biodiversity information
• Implementation of new European 2020 CAP funds assignment rules.
Impacts and outcomes
• Sharing of TRAGSA internal property datasets in novel ways
• Exploitation of cadastral data and other cross-sectorial data
• Sharing the GIS descriptive data obtained from LIDAR in novel ways
• Internationalization process
• Fairer funds assignment
• Public costs saving
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Cerved Cadastral Report Service
Value proposition & Innovation
The unique and objective
evaluation of the real
estate properties,
contextualized to the
market and to the territory
of belonging, and updated
in realtime
Integrated real estate
data with Open Data
Top 3 problems
1. Objective evaluation real estate,
declined in the territorial context.
2. Evaluating social phenomena /
demographics of the area (cell
census)
3. Updating Reports real estate
Business case example
Cadastral report service
14
Registry Score on Istat datasetCity of Turin
Real estate evaluation
SOE - Reporting state-owned real estate properties in Norway• Statsbygg has been
responsible for the task
• A hard copy of 314 pages and as a PDF file
• 6 Person-Months
• Data collection with spreadsheets
• Quality assurance through • e-mails
• phone correspondence
15
Business case example
Norwegian ‘State of Estate’
RVAS – Risk and Vulnerability Analysis Service
• Buildings affected by flooding
• Buildings affected by storm
• Total risk index
• Analysis on target buildings and areas
17
16.03.2016 proDataMarket 18
Business case example
Norwegian Subterranean Infrastructure
Business case example
Norwegian Subterranean Infrastructure