proDataMarket presentation at "Linked Data Europe: Big Geospatial Data"

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proDataMarket

Dumitru Roman

SINTEF, Norway

dumitru.roman@sintef.no

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

12

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

Thank you!Contact: dumitru.roman@sintef.no

http://prodatamarket.eu

@prodatamarket

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