Agency: European Commission | Branch: H2020 | Program: RIA | Phase: FOF-11-2016 | Award Amount: 7.99M | Year: 2016
NIMBLE: collaboration Network for Industry, Manufacturing, Business and Logistics in Europe will develop the infrastructure for a cloud-based, Industrie 4.0, Internet-of-things-enabled B2B platform on which European manufacturing firms can register, publish machine-readable catalogs for products and services, search for suitable supply chain partners, negotiate contracts and supply logistics, and develop private and secure B2B and M2M information exchange channels to optimise business work flows. The infrastructure will be developed as open source software under an Apache-type, permissive license. The governance model is a federation of platforms for multi-sided trade, with mandatory interoperation functions and optional added-value business functions that can be provided by third parties. This will foster the growth of a net-centric business ecosystem for sustainable innovation and fair competition as envisaged by the Digital Agenda 2020. Prospective NIMBLE providers can take the open source infrastructure and bundle it with sectoral, regional or functional added value services and launch a new platform in the federation. Internet platforms need fast adoption rates and the work plan reflects this: we start attracting early adopters from day one and develop the initial, working platform in year one. Added-value business functions follow in year two and final validation at large scale, involving hundreds of external firms, will happen in year three. Our adoption plan is designed to enable two or more platform providers at the end of the project, and to have 1000 to 2000 enterprises connected to the overall ecosystem at that point. NIMBLE has 17 partners grouped around 3 main activities: developing the infrastructure, running a platform adoption programme, and validating the platform with 4 supply chains (white goods, wooden houses, fashion fabrics, and child care furniture). NIMBLE will give manufacturing SMEs in Europe a stable and sustainable digital ecosystem.
Agency: European Commission | Branch: FP7 | Program: CPCSA | Phase: INFRA-2011-1.2.2. | Award Amount: 4.48M | Year: 2011
agINFRA is an Integrated Infrastructure Initiative (I3) project that will try to introduce the agricultural scientific communities into the vision of open and participatory data-intensive science. In particular, agINFRA aims to design and develop a scientific data infrastructure for agricultural sciences that will facilitate the development of policies and the deployment of services that will promote sharing of data among agricultural scientists and develop trust within and among their communities. agINFRA will try to remove existing obstacles concerning the open access to scientific information and data in agriculture, as well as improve the preparedness of agricultural scientific communities to face, manage and exploit the abundance of relevant data that is (or will be) available and can support agricultural research.\n\nUltimately, agINFRA will demonstrate how a data infrastructure for agricultural scientific communities can be set up to facilitate data generation, provenance, quality assessment, certification, curation, annotation, navigation and management.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2011.5.3 | Award Amount: 4.28M | Year: 2012
Patient Empowerment involves patients to a greater extent in their own healthcare process and disease management becomes an integrated part of their daily life. The capability of self-management opens the possibility for patients not only to contribute to their own healthcare but also to be more in control of their disease. EMPOWER will develop a modular and standard-based Patient Empowerment Framework which facilitates the self-management of diabetes patients based on PHRs and on context-aware, personalised services. EMPOWER focuses the research and development efforts on a patient-centric perspective that also involves healthcare professionals. EMPOWER provides knowledge-based Self-Management Pathways for diabetes patients and this includes (1) services for the specification and execution of actions to change behaviour according to diabetes-specific health care needs and (2) services for monitoring of vital, physical, mental parameters as well as physical and lifestyle activities based on health standards. EMPOWER semantically integrates multiple information sources (EHR/PHR, diabetes guidelines, patterns of daily living) for a shared knowledge model. The Self-Management Pathways facilitate the specification of recommendations that allow specifying individual goals for the patient. Based on these goals, relevant information and their preferences patients can specify their individual diabetes-specific actions. The Self-Management Pathways are an iterative process where executed actions and reported patterns of daily life can be evaluated. Recommendations, goals and actions can be updated iteratively according to current needs and preferences. Finally, the services in EMPOWER will embrace semantic interoperability based on health standards e.g. HL7 and IHE profiles. A pilot application in Turkey (hosted by the Ministry of Health) and one in Germany (hosted by a network of GPs) will demonstrate that EMPOWER can interoperate with other health applications.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: SEC-2010.4.2-1 | Award Amount: 10.84M | Year: 2011
What is missing so far in the European Union are disaster management procedures, tools and systems which fully take into account the specific characteristics and requirements of large-scale international cooperation in emergency situations. These characteristics are distinguished by many diverse emergency response organisations that need to collaborate across technological systems, organisational borders as well as language and cultural barriers. They do not have the same background knowledge and arrive at different points in time. Technologies and procedures currently used in multinational disaster response and prior EU funded projects have provided many solutions for single aspects, but to the best of the Consortiums knowledge there is no concept available yet which supports the entire process. This situation is the motivation for IDIRA. The mentioned characteristics of multinational disaster response led to the conclusion that we shall develop a system of technologies and guidelines which help in optimal resource planning and operations across national and organisational borders. The set of tools, interfaces and procedures developed in IDIRA will be designed to be configured, deployed and operated in a flexible manner, providing interoperable services for data integration, information exchange, resource planning and decision support to local and international disaster response units and decision makers. This core result of IDIRA will take the form an architectural framework and an exemplary implementation of a Mobile Integrated Command and Control Structure supporting co-ordinated large-scale disaster management. It is foreseen to make the best possible use of existing ideas, technology and standards, integrating available solutions and complementing them with new components where necessary. In actual operation, the components based on IDIRA solutions will be building on and be integrated with local command & control infrastructure and response procedures.
Agency: European Commission | Branch: FP7 | Program: CP-CSA-Infra | Phase: INFRA-2012-1.1.3. | Award Amount: 8.43M | Year: 2013
ARIADNE is a proposal to bring together and integrate the existing archaeological research data infrastructures so that researchers can use the various distributed datasets and new and powerful technologies as an integral component of the archaeological research methodology. There is now a large availability of archaeological digital datasets that altogether span different periods, domains and regions; more are continuously created as a result of the increasing use of IT. They are the accumulated outcome of the research of individuals, teams and institutions, but form a vast and fragmented corpus and their potential is constrained by difficult access and non-homogenous perspectives. This integrating activity will enable trans-national access of researchers to data centres, tools and guidance, and the creation of new Web-based services based on common interfaces to data repositories, availability of reference datasets and usage of innovative technologies. It will stimulate new research avenues in the field of archaeology, relying on the comparison, re-use and integration into current research of the outcomes of past and on-going field and laboratory activity. Such data are scattered amongst diverse collections, datasets, inaccessible and unpublished fieldwork reports grey literature, and in publications, the latter still being the main source of knowledge sharing. It will contribute to the creation of a new community of researchers ready to exploit the contribution of Information Technology and to incorporate it in the body of established archaeological research methodology. To achieve this result the project will use a number of integrating technologies that build on common features of the currently available datasets, and on integrating actions that will build a vibrant community of use. The overall objective outlined above will be achieved through subordinate goals, which altogether will enable the provision of advanced Integrated Infrastructure.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: PHC-28-2015 | Award Amount: 4.98M | Year: 2016
The main objective of POWER2DM is to develop and validate a personalized self-management support system (SMSS) for T1 and T2 diabetes patients that combines and integrates (1) a decision support system (DSS) based on leading European predictive personalized models for diabetes interlinked with predictive computer models, (2) automated e-coaching functionalities based on Behavioural Change Theories, and (3) real-time Personal Data processing and interpretation. The DSS will be based on the complementary combination of proven predictive models for short term plasma glucose prediction, medium term diabetes progression, and long term risk scoring for diabetes complications. These models will be integrated in adaptive personalized behavior change interventions to increase adherence of the patients to their care program and improve their interaction with health professionals. A cloud-based Data Integration Service, collecting and processing data from personal devices and EHR/PHR in real-time feeds the DSS. The results of the SMSS with respect to clinical parameters, awareness, acceptance and empowerment of the patient to participate in the care process will be evaluated in three studies in NL, DE and ES. The deliverables of the project will increase self-management capabilities and participation of the patient in the care process, resulting in better self-control and management of the disease. This will lead to better glucose management, thereby preventing severe episodes and long-term complications. POWER2DM will reinforce the prevention sector in healthcare by raising the acceptance of SMSS based on DSS that use predictive models fed by data from personal devices. POWER2DM will challenge individuals towards more frequent and long-term use of personal devices for self-monitoring, boosting the development of these devices. POWER2DM will thereby make an essential step forward in empowering the patient, advancing prevention and decreasing disease burden and costs.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.4.3 | Award Amount: 1.86M | Year: 2014
To make publishing and processing of linked data easy, the proposed project develops a set of integrated software components based on open-source Linked Data Platform best practices. The tightly integrated components support the multilingual data value chain from data exploration (e.g. identifying structured and unstructured data sources), extraction (e.g. using named entity recognition, RDF conversion), enrichment (e.g. interlinking, crowdsourcing), and delivery (e.g. analytics, apps for desktop and mobile devices). These components run on an open-source data platform with various enterprise-grade storage solutions.The vision is to make publishing and reuse of linked data as easy as possible for the end user thanks to a thriving market economy with data publishers, developers, and consumers along the value chain. Making data reusable and interoperable within and outside the organization requires a fundamentally different ap-proach to storing knowledge. The best name is probably a Logical Data Warehouse...because it focuses on the logic of information ...[for] giving integrated access to all forms of information assets. Only with integrated access to the data is it possible to have apps on top of that data that scale across single use cases and provide real added value.Fusepool LDAP (Linked Data Analytics Processing) derives its name from the idea of fusing and pooling linked data with analytical processing on top of it. Because linked data is multidimensional data, it lends itself to analytical processing such as consolidation (e.g. aggregation within a dimension), drill-down (e.g. navigating through the details), and slicing and dicing (e.g. viewing an aspect from different dimensions). However, an integrated publishing and processing workflow with integrated user interfaces is still missing. The lack of an integrated publishing and processing environment makes it difficult and time-consuming for data publishers and consumers to engage with linked data.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.8.2 | Award Amount: 4.12M | Year: 2014
Public administrations (PA) need to cope with various challenges: new regulations, an aging workforce and the need for adopting their ICT. Technology-enhanced learning (TEL) represents thus a sensible option notably for rural local governments (RLG) that need to keep up with such changing environments, but do have limited ac-cess to training courses.From interviews of a pre-study with RLG in 5 European countries we know that obstacles are to include learning in the work process and a lack of training plans. There are deficiencies in communication and collaboration skills despite regular use of computer and mobile devices.EAGLEs main objective is to equip employees in RLG with a holistic training solution based on Open Educa-tional Resources (OER) and Open Source (OS) tools, supporting learning of critical transversal skills such as ICT literacy and professional management of change situations. EAGLE outcomes include an innovative change management model for a learning-enhanced work process, a proficiency-based cross-device OER curriculum, and contextualization tools for multilingual collaboration. These will be integrated in the novel EAGLE OER Open Learning platform that includes a new OER ontology for public administration and combines open data and learning platforms feeding into user services, argumentation technology tool and semantic search.Our solution will thus support OS business models for the benefit of technology and e-learning providers. It will be built on existing OS tools and frameworks, IEEE OER standards and the CKAN open data standards. The EAGLE consortium includes leaders in European OER, TEL, online assessment, mobile learning and e-government research as well as experts in organisational and pedagogical development, semantic web systems and services for PA.EAGLE will significantly advance the state-of-the-art in PA learning and introduce the tech-nology through our validation and associated partners in real-life RLG environments.
Agency: European Commission | Branch: H2020 | Program: RIA | Phase: ICT-32-2014 | Award Amount: 3.99M | Year: 2015
In traditional industrial control systems and critical infrastructures, security was implicitly assumed by the reliance on proprietary technologies (security by obscurity), physical access protection and disconnection from the Internet. The massive move, in the last decade, towards open standards and IP connectivity, the growing integration of Internet of Things technologies, and the disruptiveness of targeted cyber-attacks, calls for novel, designed-in, cyber security means. Taking an holistic approach, SCISSOR designs a new generation SCADA security monitoring framework, comprising four layers: i) a monitoring layer supporting traffic probes providing programmable traffic analyses up to layer 7, new ultra low cost/energy pervasive sensing technologies, system and software integrity verification, and smart camera surveillance solutions for automatic detection and object classification; ii) a control and coordination layer adaptively orchestrating remote probes/sensors, providing a uniform representation of monitoring data gathered from heterogeneous sources, and enforcing cryptographic data protection, including certificate-less identity/attribute-based encryption schemes; iii) a decision and analysis layer in the form of an innovative SIEM fed by both highly heterogeneous monitoring events as well as the native control processes signals, and supporting advanced correlation and detection methodologies; iv) a human-machine layer devised to present in real time the system behavior to the human end user in a simple and usable manner. SCISSORs framework will leverage easy-to-deploy cloud-based development and integration, and will be designed with resilience and reliability in mind (no single point of failure). SCISSOR will be assessed via i) an off-field SCADA platform, to highlight its ability to detect and thwart targeted threats, and ii) an on-field, real world deployment within a running operational smart grid, to showcase usability, viability and deployability.
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2013.4.1 | Award Amount: 4.35M | Year: 2013
With the tremendous increase in multimedia content on the Web and in corporate intranets, discovering hidden meaning in raw multimedia is becoming one of the biggest challenges. Analysing multimedia content is still in its infancy, requires expert knowledge, and the few available products are associated with excessive price tags, while still not delivering sufficient quality for many tasks. This makes it almost impossible for normal companies, particularly SMEs, to make use of this technology. Also, analysis components typically operate in isolation and do not consider the context (e.g. embedding text) of a media resource. MICO addresses these problems as follows:\n\n- it will consider media in cross-media context, allowing to analyse media resources as well as connected content, including video, images, audio, text, link structure and metadata\n- it will investigate cross-media analysis along the complete, distributed analysis chain, namely extraction, metadata publishing, querying and recommendations\n- it will develop harmonized models and software services for orchestration of analysis components, representing and publishing of analysis results, and querying and evaluating such results\n- it will contribute its main software development results as Open Source components to two established Apache projects, Apache Marmotta and Apache Stanbol, simplifying the use of the technology in industrial products\n\nThe technology will be evaluated in two complementary use cases: crowd sourcing for academic research at Zooniverse (most successful crowd science platform) and video sharing at KIT digital (one of the biggest enterprise video sharing providers). Through its involvement in the Apache Software Foundation, the project partners will reach out to many technology companies and have access to a large community already at the beginning of the project. Publishing the main results as Open Source will enable particularly SMEs to benefit from cross-media analysis technology.