Project description
The importance of building rich, high-quality and valuable data sets
Big Data is essential to powering the evolution of AI. In this context, the EU-funded enRichMyData project is developing a new paradigm for building rich, high-quality and valuable data sets to feed data analytics and Al applications. The paradigm supports the scalable execution of data enrichment pipelines, including key operations such as discovery, understanding, selection, cleaning, transformation and integration of Big Data from a variety of sources. The paradigm will be easily accessible to a wide range of organisations that encounter difficulties in delivering suitable data to feed their data analytics solutions. The project will validate its solutions through a strong selection of complementary business cases in various domains, including digital marketing, public procurement, innovation ecosystems, Industry 4.0 predictive maintenance of medical devices, and mineral processing.
Objective
enRichMyData provides a novel paradigm for building rich, high-quality and valuable datasets to feed Big Data Aalytics and AI applications. The paradigm consists in facilitating the specification and scalable execution of data enrichment pipelines, with a focus on supporting various data enrichment operations such as discovery, understanding, selection, cleaning, transformation, integration of Big Data from a variety of sources. enRichMyData makes this paradigm easily accessible to a wide set of large and small organizations that encounter difficulties in the process of delivering suitable data to feed their data analytics solutions due to the lack of suitable tools and expertise to support cost- effective and energy-efficient management of data enrichment pipelines. enRichMyData delivers a software toolbox consisting of tools and infrastructure services for setting-up, deploying, executing and managing data enrichment pipelines. The main exploitation targets the operation and monetization of the toolbox primarily in European markets. enRichMyData validates its plan through a strong selection of complementary business cases offered by commercially- focused organizations targeting development of novel products in a wide range of domains, including digital marketing, Industry 4.0 medical devices maintenance, public procurement, innovation ecosystems, and mineral processing. The balanced consortium consists of 13 partners from 11 countries. With a mixture of R&D/technology providers and business case providers, enRichMyData gathers five large companies, three SMEs, two research institutes, and three universities.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
- natural sciences computer and information sciences knowledge engineering ontology
- social sciences economics and business business and management innovation management
- natural sciences computer and information sciences data science natural language processing
- natural sciences computer and information sciences databases non-relational databases
- natural sciences computer and information sciences internet semantic web
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
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HORIZON.2.4.7 - Advanced Computing and Big Data
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-IA - HORIZON Innovation Actions
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-CL4-2021-DATA-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
7034 Trondheim
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.