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Enabling the property Data Marketplace for Novel Data-driven Business Models

Objective

Property data are one of the most valuable datasets managed by governments worldwide and extensively used in various domains by private and public organizations. Unfortunately these data are not always easy to access. House and property data is used in a variety of ways to produce value added information within and across several business sectors, including real estate and debt collection. Such sectors suffer from a lack of innovation due to a fragmented data ecosystem which makes it difficult to access relevant datasets. This hampers innovation, protects incumbents and promotes rent-seeking business models. The difficulty in creating a single, open data market partly depends on the fact that some governmental agencies are currently making significant revenues on selling data to a restricted number of business players in the private sector. However, several studies, demonstrated that the transaction costs for government agencies tend to be very high, and often make selling the data non-profitable.
proDataMarket aims to disrupt the property data market and demonstrate innovation across sectors where property data is relevant, by integrating a technical framework for effective publishing and consumption of property-related data, showcasing novel data-driven business products and services based on property data. proDataMarket will provide a digital data marketplace for open and non-open property and related contextual data, making it easier for data providers to publish and distribute their data (for free or for a fee) and for data consumers to easily access the data they need for their businesses.
The consortium is formed by large companies ensuring high-impact business cases, technology transfer providers ensuring technologies for the creation and maintenance of the data market platform, and large data providers providing data for the business cases. With strong industry involvement proDataMarket will cover a wide range of data value chains related to property data.

Field of science

  • /social sciences/economics and business/business and management/commerce
  • /social sciences/economics and business/business and management/business model
  • /social sciences/economics and business
  • /social sciences/sociology/governance/public services

Call for proposal

H2020-ICT-2014-1
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

STIFTELSEN SINTEF
Address
Strindveien 4
7034 Trondheim
Norway
Activity type
Research Organisations
EU contribution
€ 999 207

Participants (7)

CERVED GROUP SPA
Italy
EU contribution
€ 285 687,50
Address
Via San Vigilio 1
20142 Milano
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EVRY NORGE AS
Norway
EU contribution
€ 644 000
Address
Snaroyveien 30A
1360 Fornebu
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EMPRESA DE TRANSFORMACION AGRARIA SA
Spain
EU contribution
€ 276 937,50
Address
Calle Maldonado 58
28006 Madrid
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
KOMMUNAL- OG MODERNISERINGSDEPARTEMENTET
Norway
EU contribution
€ 505 750
Address
Akersgata 59
0180 Oslo
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SPAZIODATI SRL
Italy
EU contribution
€ 352 625
Address
Via Adriano Olivetti 13
38122 Trento
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ONTOTEXT AD
Bulgaria
EU contribution
€ 230 562,50
Address
Tsarigradsko Shose 135
1784 Sofia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ISTITUTO NAZIONALE DI STATISTICA
Italy
EU contribution
€ 204 375
Address
Via Cesare Balbo 16
00184 Roma
Activity type
Research Organisations