PPP projects

Cross-sectorial and cross-lingual data integration and experimentation (ICT-14)

Project
Description
Enabling the European Business Graph for Innovative Data Products and Services
http://eubusinessgraph.eu/
The objective of the project is to simplify and disrupt the cross-border and cross-lingual collection, reconciliation, aggregation, provisioning and analytics of company-related data from authoritative and non-authoritative public or private sector sources, enabling cross-sectorial innovation. A Europe-wide business graph will be established, by developing a system of shared identifiers for companies and providing a scalable business graph data marketplace that integrates 3rd party applications and is used to expose company-related data services
Supporting Event and Weather-based Data Analytics and Marketing along the Shopper Journey

http://www.ew-shopp.eu/
The objective of the project is to support companies operating in the fragmented European ecosystem of the eCommerce, Retail and Marketing industries to increase their efficiency and competitiveness by leveraging deep customer insights. Improved insight will result from the analysis of large amount of data, acquired from different sources and sectors, hence heterogeneous and in multiple languages. EW-Shoop will provide a platform to integrate consumer and market data, thus covering customer interactions and activities across different channels and with different languages, providing insights on rich customer journey, and enriching them with information about weather and events.
Understanding Europe’s Fashion Data Universe

https://fashionbrain-project.eu/
The objective of the project is to consolidate and extend existing European technologies in the area of database management, data mining, machine learning, image processing and crowdsourcing to strengthen positions of European fashion retailers. The project focuses on the ability of using data to better understand customers’ needs and wishes, and thus, to predict demand with better accuracy, and to provide novel on-line shopping experiences, the detection of influencers, and the prediction of upcoming fashion trends
Advanced Big Data Value Chain for Public Safety and Personal Security

http://www.aegis-bigdata.eu/
The objective of the project is to provide a data value chain created around the “Public Safety and Personal Security” linked sectors to provide better and more personalized services to its users / customers. The project brings together the data, the network and the technologies to create a curated, semantically enhanced, interlinked and multilingual repository for “Public Safety and Personal Security”-related Big Data. New business models through an open ecosystem of data innovation, leveraging sharing economy principles.
Accelerating Data to Market

https://datapitch.eu/
The objective of the project is the creation of a transnational, Europe-wide data innovation ecosystem that brings together data owners and Big Data technology providers, with start-ups and SMEs with fresh ideas for data-driven products and services. Data Pitch is for organisations who want to explore an open innovation approach with data, offering bespoke support from data sharing technology, to the legal aspects of data use and engagement with start-ups.
Because Big Data Integration is Humanly Possible
http://qrowd-project.eu/


The objective of the project is to provide methods to perform cross-sectorial streaming Big Data integration, including geographic, transport, meteorological, cross domain and news data, enabling the integration for urban mobility including real-time data on individual and public transportation combined with further available sources, supporting the participation and feedback of various stakeholder groups to foster data-driven innovation in cities, and building a platform providing hybrid computational methods relying on efficient algorithms complemented with human computation and feedback.
Exploiting Oceans of Data for Maritime Applications

http://www.bigdataocean.eu/site/
The objective of the project is to provide maritime big data scenarios for EU-based companies, organizations and scientists, through a multi-segment platform that will combine data of different velocity, variety and volume under an inter-linked, trusted, multilingual engine to produce a valuable big-data repository for the participants and local communities.
Scalable Linking and Integration of Big POI data

http://www.slipo.eu/
The objective of the project is the development of linked data technologies for the scalable and quality assured integration of Big POI Data assets. It involves transforming conventional POI formats and schemas into RDF data, interlinking POI entities from different datasets, enriching POI entities with additional metadata, fusing Linked POI data in order to produce more complete and accurate POI profiles assessing the quality of the integrated POI data, and offering value added services based on spatial aggregation, association extraction and spatiotemporal prediction.

Large scale pilot actions in sectors best benefitting from data-driven innovation (ICT-15)

Project
Description

https://www.databio.eu/en/
The objective of the project is the production of the best possible raw materials from agriculture, forestry and fishery/aquaculture for the bio-economy industry (production of food, energy and biomaterials), taking into account responsibility and sustainability issues, and applying innovative ICT and information flows, in order to provide a streamlined Big Data Infrastructure for data discovery, retrieval, processing and visualizing, in support to decisions in bio-economy business operations.

http://www.transformingtransport.eu/
The objective of the project is to provide a realistic, measurable and replicable way to demonstrate the improvements that Big Data brings to the mobility and logistic market, and validates the technical and economic viability of Big Data to reshape transport processes and services.

Privacy-preserving big data technologies (ICT-18)

Project
Description

http://www.myhealthmydata.eu/
The objective of the project is to change the existing scenario in the biomedical sector by introducing a distributed, peer-to-peer architecture which will determine new mechanisms of trust and of direct, value-based relationships between people, hospitals, research centres and business. MHMD will foster the development of a true information marketplace, enabling individuals to exercise full control over their personal data and leverage their value

https://www.soda-project.eu/
The project will enable practical privacy-preserving information analytics from multiple data assets using multi-party computation techniques. This approach entails that data does not need to be shared, but only available for encrypted processing.
Ethical and Societal Implications of Data Sciences
http://www.e-sides.eu/
The project aims at involving big data stakeholders in reaching an ethically sound approach on big data processing, and improving the dialogue between data subjects and big data communities (industry, research, policy makers, regulators) to increase citizen’s confidence on big data technologies and data markets.
Scalable Policy-awarE linked data architecture for privacy, transparency and compliance

https://www.specialprivacy.eu/
The project will address the contradiction between Big Data innovation and privacy-aware data protection by proposing a technical solution that makes both of these goals realistic. SPECIAL shall allow citizens and organisations to share more data, while guaranteeing data protection compliance, thus enabling both trust and the creation of valuable new insights from shared data.

Enabling responsible ICT-related research and innovation (ICT-35)

Project
Description

https://kplex-project.com/
The project defines and describes key aspects of data that are at risk of being left out of our knowledge creation processes in a system where large scale data aggregation is becoming ever more the gold standard. K-PLEX approaches this challenge in a comparative, multidisciplinary and multi-sectoral fashion, focusing on 3 key challenges to the knowledge creation capacity of big data approaches: the manner in which data that are not digitised or shared become ‘hidden’ from aggregation systems; the fact that data is human created, and lacks the objectivity often ascribed to the term; the subtle ways in which data that are complex almost always become simplified before they can be aggregated

Support, industrial skills, benchmarking and evaluation (ICT-17)

Project
Description

http://www.big-data-value.eu/
The mission of BDVe is to support the Big Data Value PPP in realizing a vibrant data-driven EU economy, contributing to its implementation for this to be a success.