Tag: Data Sharing

  • EBRAINS: A Research Infrastructure to Advance Neuroscience and Brain Health

    EBRAINS: A Research Infrastructure to Advance Neuroscience and Brain Health

    September 1, 2022 @ 8:00 am – December 31, 2026 @ 5:00 pm CEST

    (PROJECT)

    EBRAINS. “EBRAINS.” Accessed 13.08.2025. https://www.ebrains.eu.

    EBRAINS is an international non-profit association (AISBL), headquartered in Brussels, Belgium. It is made up of 8 Full Members and 35 Associate Members. The Research Infrastructure is organised around a central hub that coordinates a pan-European network of services delivered through National Nodes. EBRAINS is governed by three bodies, the General Assembly, the Governing Board and the Management Board. A National Node Board gathers Node representatives. EBRAINS also has two Advisory Committees, the Science and Technology one and the Ethics and Society one which will soon be instated. EBRAINS is funded by the Horizon Europe Framework Programme.

    A state-of-the-art ecosystem for neuroscience

    EBRAINS is on a mission to revolutionise how neuroscience is conducted. The digital ecosystem that we provide enables advances in brain research that translate to innovations in neuroscience, healthcare and technology.

    Towards a European Brain Partnership to accelerate scientific, technological, and societal needs.

    EBRAINS’ ambition is to enable breakthroughs in different areas of brain science. We are proud to be part of several game-changing projects and initiatives, in which we join forces with leading institutions to achieve tangible results and outcomes. If you’re interested in working with us on specific projects, different possibilities exist. Don’t hesitate to contact us for more information.

    EBRAINS is organised around a central hub that coordinates a pan-European network of services that are delivered through national nodes.

    Visit the project website
  • AI-Mind: Artificial Intelligence for Dementia Prevention

    AI-Mind: Artificial Intelligence for Dementia Prevention

    March 1, 2021 @ 8:00 am – February 28, 2026 @ 5:00 pm CET

    (PROJECT)

    Accelopment Schweiz AG. “AI-Mind”. Accessed 13.08.2025. https://www.ai-mind.eu.

    This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 964220. This website reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.

    What is the challenge?

    There are over 50 million people worldwide living with dementia and by 2030 this number is expected to reach 82 million.

    The ageing brain becomes vulnerable to decline and keeping independency in daily life can become a challenge for the elderly. People with Mild Cognitive Impairment (MCI), an intermediate condition between normal brain ageing and dementia, may develop dementia in the future.

    There is an urgent need for early risk assessment and intervention. Current practices with time-consuming patient investigations focus on late symptoms management  due to a lack of diagnostic tools. This causes numerous implications in terms of familial, medical and care costs.

    With AI-Mind we aim to reduce the disease’s burden by developing novel, AI-based tools to support healthcare professionals in their diagnosis and offering timely interventions to patients.

    At the heart of AI-Mind is our research study, that

    Takes place in Norway, Finland, Italy and Spain and will involve 1,000 participants. 

    Helps to develop and validate artificial intelligence (AI) based tools to predict who is likely to develop dementia.

    The AI-Mind project aims to ease the burden of dementia by creating innovative, AI-driven tools that assist healthcare professionals in predicting dementia risks in patients affected by mild cognitive impairment (MCI). Most dementia treatments focus on managing symptoms once they appear, leaving little room for early prevention. AI-Mind seeks to transform this process by replacing complex and inefficient screening methods with advanced, automated tools powered by AI. These tools will address the critical need for early and precise diagnosis, allowing doctors to identify patients at high risk of developing dementia with greater confidence.

    Oslo University Hospital

    View Organizer Website

    Visit the project website
  • enRichMyData

    enRichMyData

    October 21, 2022 @ 8:00 am – September 30, 2025 @ 5:00 pm CEST

    (PROJECT)

    enRichMyData. “enRichMyData.” Accessed 13.08.2025. https://enrichmydata.eu.

    enRichMyData develops a novel paradigm for building rich, high-quality and valuable datasets to feed Big Data Analytics and AI applications. It has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070284.

    The enRichMyData project is coordinated by SINTEF (Norway), one of European’s largest independent research organisations. The project partners include companies such as Philips (The Netherlands) and Bosch (Germany), dedicated to engineering and manufacturing; Speed Network (Estonia), a provider of procurement data; JOT Internet Media (Spain), a digital marketing company; CS Group (Romania), a software service company; Expert AI (Italy), a technology company specializing in natural language understanding; and Ontotext (Bulgaria), a semantic technology company. They will have the full support of the research partners that, in addition to SINTEF, include the University of Milano Bicocca (Italy), Jozef Stefan Institute (Slovenia), University of Copenhagen (Denmark), GATE Institute (Bulgaria), and BGRIMM Technology Group (China).

    enRichMyData delivers an open software toolbox – the enRichMyData toolbox – comprising practical, robust and scalable components to support organizations in enriching their data with reference data they may have limited knowledge of, as well as supporting data providers in making their data reusable and available in data enrichment processes.

    The toolbox lowers the technological entry barriers by providing support for the definition of highly scalable and replicable data enrichment pipelines through a set of tools and infrastructure services related to capabilities needed during the lifecycle of enrichment pipelines. The toolbox makes the data enrichment process accessible to a broader set of stakeholders by reducing the required expertise and enhancing the tool support level.

    Empower AI-driven business products and services

    h-quality, rich and meaningful data are crucial to successfully implementing Artificial Intelligence (AI) and Big Data Analytics (BDA) solutions. Delivering required data to feed into AI and BDA models is costly, difficult, and often limited in data and skill availability. It is well known that up to 80% of the effort spent in AI and BDA projects is dedicated to ensuring data is fit for purpose. Activities are required to discover, understand, select, clean, transform, and integrate data from a variety of sources in such a way that data can be fed into the modelling phase. Such activities result in enriched data, eventually improving the quality of downstream BDA and AI applications. The data enrichment process is implemented by specifying, deploying, and executing data enrichment pipelines over data that can be structured, semi-structured and unstructured, in large amounts, and from static or streaming sources. While techniques exist to cover different enrichment operations such as data cleaning, linking, feature extraction, classification and semantic annotation, etc., the lack of comprehensive approaches and established tools dedicated to data enrichment makes the definition, implementation, and operation of enrichment pipelines difficult for too many organizations willing to improve their BDA and AI applications.

    The overall vision of the enRichMyData project is to create a novel paradigm for building rich, high-quality, valuable, and FAIR-compliant datasets to feed downstream BDA and AI applications in the context of data-sharing ecosystems, such as data spaces. The paradigm facilitates the specification and execution of data enrichment pipelines, focusing on supporting various data enrichment operations. enRichMyData makes this easily accessible to a wide set of large and small organizations that encounter difficulties in delivering suitable data to feed their BDA and AI solutions due to the lack of usable tools/expertise for the cost-effective management of data enrichment pipelines.

    SINTEF

    View Organizer Website

    Visit the project website
  • IMS Commercialisation

    IMS Commercialisation

    June 18, 2020 @ 8:00 am – June 1, 2021 @ 5:00 pm CEST

    (PROJECT)

    The IMS commercialisation project was managed by an affiliated company that VentureNet acquired in 2023. The project was co-financed by the Norwegian development bank, Innovation Norway.

    The project developed a prototype of an Innovation Management System, which provided the technical foundation and building blocks for VentureNet’s Information Management System (IMS) and secure data exchange platform.

    Among the unique and groundbreaking IMS features are dynamic data enrichment capabilities with human-in-the-loop (HITL) models, low-code/no-code development functionality, and container technology for rapid deployment of digital applications, which can be customized for specific customer needs at a fraction of the time and cost of comparable application development platforms.

    Furthermore, digital applications that are developed by VentureNet can be integrated seamlessly with VentureNet’s marketplace to enable secure data exchange in digital marketplaces that adhere to EU data privacy regulations and common standards for International Data Spaces, Cybersecurity, Safety, Data Governance, Interoperability, and Cyber Resilience.

    Contact us to learn more about the IMS and how your organisation or region can leverage the IMS to manage your data, develop data-driven systems with trustworthy AI, build a virtual innovation ecosystem with resilient digital supply chains and access to secure international digital marketplaces.

    VentureNet

  • Establishment of a Virtual Innovation Ecosystem

    Establishment of a Virtual Innovation Ecosystem

    January 20, 2023 @ 8:00 am – December 1, 2023 @ 5:00 pm CET

    (PROJECT)

    The virtual regional innovation ecosystem project was a business network development initiative in 2023, which was managed by VentureNet AS in collaboration with leading innovation ecosystems in the Inland region of Norway (Klosser Innovation AS, Vaager Innovasjon AS, and Skåppå AS) and the University of Inland Norway. The project received co-financing from Innlandet County.

    The project built on results of a previous FORREGION project on regional innovation ecosystems and laid groundwork that contributed to establishment of several projects to develop national and Nordic Innovation Ecosystems with a connections to the Inland Region of Norway and Greater Oslo Region.

    Project results

    This project created a large national and international partner consortium of innovation actors, business actors, research institutions and universities, which led to the establishment of several project consortia since the start of the project, and which submitted 9 applications for collaborative projects to the Research Council, EU ERDF (Interreg), and EU Horizon in 2023 alone.

    In addition, work is underway to establish 6 large coordination and innovation/development projects in consortia consisting of, among others, Klosser Innovasjon, Vaager Innovasjon, Skåppå, Smart Innovation Norway, the Norwegian Agency for Digitalisation (Digdir), NCE Heidner, NCE Manufacturing, NCE Smart Energy Markets, Cluster for Applied AI, Norway Health Tech, Rikshospitalet, University of Oxford, University of Oslo, NTNU NORCICS, SINTEF, Institute of Energy Technology (IFE), Norwegian Computing Centre, Inland University College, Østfold University College, several municipalities, private business actors, and foreign innovation actors.

    Results are described further below related to the effects and continuation of the project.

    1. Replicable ecosystem collaboration model to build stronger regional ecosystems.

    • Workshops being planned in 2024 and 2025 with key stakeholders in Innlandet, Oslo, Østfold, Sweden, Spain and Germany to identify/plan key networking events and conferences with stakeholders and sponsors.
    • Networking events and conferences from June 2024 to interconnect ecosystems, match businesses and investors.

    2. Virtual innovation ecosystem with hubs & nodes for regions and strategic industries.

    • Digital Infrastructure: open to integration with external systems and fully customizable.
    • Network: 250+ local key stakeholders identified by Siva-incubators; 30+ European regions in partner network.
    • Hubs: 10 regional hubs (incl. tourism, career hubs), 6 initial industry hubs, 14 hubs for Innlandsporteføljen.

    3. Plan for Events, Conference and Projects to interconnect local/regional ecosystems.

    • Conferences: major European “Smart Impact” conference opportunity in 2025-2026.
    • 4 “Ecosystem” plans (RIV, Interreg, EIE, Hub-Node)to finance workshops, networking events and conferences.
    • 12 R&D plans (IPN, Pilot Helse, RFF, EUH, SFI) with leading R&D institutions in AI and cybersecurity.

    Would you like to strengthen the innovation ecosystem in your region?

    Contact VentureNet for more information about the project’s results and collaboration opportunities.

    VentureNet

  • Norwegian Digital Innovation Ecosystem Launch: Development of Critical Digital Infrastructure in Norway

    Norwegian Digital Innovation Ecosystem Launch: Development of Critical Digital Infrastructure in Norway

    June 6, 2024 @ 9:30 am – 5:30 pm CEST

    (EVENT)

    The launch event for the Nordic Digital Innovation Ecosystem brought together stakeholders from leading research, innovation, public and private sectors to discuss development of next-generation digital infrastructure in Norway.

    To ensure a well-functioning and competitive digital future for Norway and the Nordic region, it is crucial that business and the public sector actively contribute to the development of our digital infrastructure. Join an important initiative by taking part in the work to:
    • Create value through data sharing and digital trust.
    • Build a robust and secure digital infrastructure.
    • Develop new and innovative technologies.

    In connection with the rapid development of important national initiatives with tight deadlines, we have had the opportunity to discuss development plans with Ulrich Ahle, CEO of Gaia-X, a European initiative for secure digital infrastructure, who is visiting Hamar on June 6. Ahle will participate in the opening of a national center for data-driven innovation that includes a Nordic Gaia-X hub and Fiware iHub.

    Visit the digital platform and video clips on VentureNets Online Marketplace and on Youtube.

    VentureNet

    Hamar Kulturhus

    Torggata 100
    Hamar, Innlandet 2317 Norway     + Google Map
    View Venue Website
    Visit the NDIE platform
  • Nordic Digital Innovation Ecosystem

    Nordic Digital Innovation Ecosystem

    May 22, 2024 @ 8:00 am – December 1, 2026 @ 5:00 pm CEST

    (PROJECT)

    The Nordic Digital Innovation Ecosystem (NDIE) is an ongoing business network development initiative to support development of trustworthy systems and infra- structure in critical sectors by connecting public and private sectors and research institutions and supporting project establishment.

    The project was initiated in 2024 and managed by Klosser Innovasjon AS and VentureNet AS in collaboration with the Norwegian Computing Center (NR), the Norwegian Center for Cybersecurity in Critical Sectors (SFI NORCICS), the Institute for Energy Technology (IFE), and Smart Innovation Norway, with financial support from Innlandet County in Norway.

    Within 5 months of the project’s start, NDIE organised and executed 9 successful international events, including some of Norway’s first seminars and webinars on European Data Spaces and a trailblazing 2-day Nordic Matchmaking Event at DNV Headquarters and NR Headquarters in Oslo.

    Some of the speakers included representatives from the Norwegian Digitalisation Agency, Sykehuspartner, Det Norske Veritas, DNV-Nixu, FICEC, F-Secure, Defendable, Business Finland, the City of Wien in Austria, Gaia-X, and FIWARE.

    Visit the digital platform and video clips on VentureNets Online Marketplace and on Youtube.

    VentureNet

  • Norwegian-Finnish Workshop and Matchmaking Event: The Role of Cybersecurity in Digital Resilience

    Norwegian-Finnish Workshop and Matchmaking Event: The Role of Cybersecurity in Digital Resilience

    November 18, 2024 @ 12:00 pm – November 19, 2024 @ 5:00 pm CET

    (EVENT)

    This event aimed to strengthen collaboration on cybersecurity and digital resilience initiatives between industry, research and public sectors in Norway and Finland.

    Organized in collaboration with the Norwegian Center for Cybersecurity in Critical Sectors (SFI NORCICS), the Norwegian Cybersecurity Cluster (NCC), the Finnish Center of Expertise for Cybersecurity (FICEC), North European Cybersecurity Cluster (NECC), University of Jyväskyla, DNV Norway and Finland, NR, NTNU, the Norwegian Ecosystem for Secure IT-OT Integration (NESIOT), and the Nordic Digital Innovation Ecosystem (NDIE).

    One of the outcomes of this 2-day event was the establishment of the Nordic European Cyber Days 2025 conference in collaboration with the European Cyber Security Organisation (ECSO), the North European Cybersecurity Cluster (NECC) and all 8 Nordic and Baltic National Coordination Centers for Cybersecurity Research and Innovation (NCCs).

    Download the brochure to see the list of speakers and partners.

    NDIE_The Role of Cybersecurity in Digital Resilience_4Download

    VentureNet

    Hamar Kulturhus

    Torggata 100
    Hamar, Innlandet 2317 Norway     + Google Map
    View Venue Website
  • VentureNet: Reducing barriers to innovation and business development through secure data exchange

    VentureNet: Reducing barriers to innovation and business development through secure data exchange

    September 1, 2022 @ 8:00 am – September 30, 2023 @ 8:00 am CEST

    (PROJECT)

    The VentureNet data exchange project was a research project completed in 2023 in collaboration with SINTEF and the Norwegian Centre for Research and Innovation in Cybersecurity in Critical Sectors (SFI NORCICS) based at the Norwegian University of Science and Technology (NTNU). The project received co-financing from the Research Council of Norway and Innlandet County through the FORREGION program.

    Background

    A major EU industrial research project on data harmonization, euBusinessGraph, identified major challenges with access to business data, citing that “it is extremely expensive, time consuming and error prone to find, interpret and reconcile”, especially across industries, geographic regions and languages.

    Machine learning (ML) plays an important role in automating data processing tasks such as natural language processing (NLP), but human input is needed to train ML algorithms and thereby improve the accuracy of ML models. One of the challenges identified by data scientists is a lack of machine learning models with humans-in-the-loop (HITL). 80% of the cost of Big Data and Artificial Intelligence (AI) projects is time spent by data scientists finding, interpreting and harmonizing data. A lack of HITL limits the effectiveness of ML models and their potential to reduce cost in Big Data and AI projects.

    VentureNet aims to create a virtual business accelerator hub powered by its proprietary Information Management System (IMS), which centralizes access to multiple digital ecosystems, facilitating data exchange and reducing manual data entry. Developed in collaboration with SINTEF and NTNU, the project focuses on creating a secure data exchange framework with Human-in-the-Loop (HITL) capabilities that can be scaled up in European data markets.

    Project Results

    The project delivered a report introducing a novel framework and new technical solution for data exchange that will facilitate dynamic harmonization and enrichment of business data with HITL ML models. The envisioned solution is a digital B2B workspace and marketplace that will automate data management tasks and processes and facilitate involvement of non-technical data providers (small businesses) in data enrichment with HITL models.

    SINTEF compared VentureNet’s IMS to leading low-code platforms and AI solutions, such as Oracle APEX, AWS Amplify, Open AI GPT, Sheet GPT, and Google Natural Language API and concluded the following:

    We compared VentureNet against a few low-code/no-code platforms. Low-code/no-code platforms significantly accelerate software development by simplifying and automating code generation, making it possible for non-developers to create applications, thereby democratizing development and reducing the technical skill barrier. However, these platforms can limit customization capabilities, restrict advanced functionality, and lead to vendor lock-in situations, potentially impeding scalability, and long-term growth for more complex or unique business requirements.

    Potential for higher accuracy and filtering of hallucinations, using HITL, especially in sensitive domains, such as healthcare.

    The principal advantage of the VentureNet platform lies in its comprehensive integration capabilities. It can fulfill all project requirements, including form processing, API management, low-code graphical user interface elements, and data enrichment. Unlike other generic platforms, VentureNet enables the development of highly customized solutions tailored to specific project needs.

    Although it is possible to assemble similar platforms using excellent off-the-shelf tools, coordinating, and integrating these disparate components requires significant time and effort. Additionally, the complexities associated with billing processes can often pose substantial challenges. VentureNet solves these concerns by offering a unique solution that simplifies project management and reduces operational overhead. This approach ensures a streamlined workflow and efficient project execution.

    Contact VentureNet to learn more about the project results and collaboration opportunities.

    VentureNet

  • Digitalization, innovation and network effects in rural and mountainous regions: a study of the status quo and opportunities for the IMS

    Digitalization, innovation and network effects in rural and mountainous regions: a study of the status quo and opportunities for the IMS

    June 1, 2021 @ 8:00 am – May 31, 2022 @ 5:00 pm CEST

    (PROJECT)

    The IMS project was completed in 2022 with support from the Eastern Norway Research Institute (a division of the University of Inland Norway) and SINTEF, one of Europe largest independent research institutions. The project was managed by an affiliate of VentureNet, which VentureNet acquired in 2023, and the project received co-financing from the Research Council of Norway and Innlandet County through the FORREGION program.

    Background: small-and-medium-enterprises (SMEs) need help with data management.

    Problem: Limited availability and access to private sector (business) data.

    • High cost of generating business data and analysis for startups and SMEs.
    • High cost of harmonizing business data using Big Data and artificial intelligence (AI).

    Opportunities: make business analysis more cost-effective for SMEs using Big Data.

    • “Core” business data points are reused in sales, fundraising and other processes.
    • Gather existing “core” business data using Big Data to save time and cost for SMEs and advisors.
    • Exchange “core” business data across digital platforms to save cost and generate revenue for SMEs, advisors, customers, investors, making SME data more valuable and cost-effective to analyze.

    Challenges required advanced knowledge of regional dynamics and data science.

    • Lack of digital platforms designed to make use of business data exchange and virtual networking.
    • How to build a network of businesses and advisors that benefit from enriching and exchanging data.
    • Technical bottlenecks in Big Data related to data harmonization, enrichment and exchange.

    Project objective

    Inform design of a main research project to develop new machine-learning and data exchange models for Big Data and digital B2B platforms that accelerate digitalization, innovation and network effects for SMEs in rural areas.

    Hypotheses for lower growth rates in rural and mountainous regions:

    • The Lemon Problem: lower trust in SMEs due to a lack of verified data (“Information Asymmetry).
    • Lower access to capital and specialist expertise in non-metropolitan areas (“Agglomeration Effects”).
    • Lower growth ambition? The Inland region of Norway has a high proportion of micro-enterprises.
    • Is this due to a perception of lower access to private capital?
    • Possible lower access to specialist/M&A expertise?
    • Other factors, such as cultural factors, systemic inequalities or biases, or lower competitiveness?

    Project Results

    Key results from the University of Inland Norway

    • Statistical analysis of ICT companies in the Inland region using publicly available data from Proff.
    • Use of Centralization Index as a basis for future ethnogeography studies and statistical analysis.
    • Mapping of advisory services and financial services available for companies in Innlandet.
    • Questionnaire templates to evaluate knowledge and utilization of digital tools and advisory services.
    • Other relevant suggestions from HINN colleagues for use in future research projects:
      • Social network analysis and gender study methods to analyze cultural and systemic factors linked to growth.
      • Analysis of industry clusters and network effects to identify best practice and factors linked to value creation.

    Key results from SINTEF

    • Clarified that the IMS has an innovative approach to data enrichment, which can be used to develop advanced machine-learning models with Humans-In-The-Loop, a current challenge for data scientists.
    • Identified opportunities to reduce time and cost of data entry by using machine-learning techniques for data harmonization and enrichment.
    • Identified areas for further development: Data Fusion, Dynamic Data Enrichment, Data Exchange.
    • Delivered a toolbox and recommendations for potential suppliers and partners to enhance the IMS:
      • Several leading data sets providing broad access to available business data in Norway and Europe.
      • Leading ontologies and vocabularies for harmonizing and enriching data with machine-learning.
      • Advanced methods and software for data mining, harmonization, and enrichment.

    Project Outcomes

    Clear path for development of advanced Big Data solutions (software, methods and data).

    • Data Harmonization/Fusion: integrate multiple data sources to dynamically produce structured data.
    • Data Enrichment: develop HITL machine-learning models to dynamically enrich missing/incomplete data.
    • Data Exchange: re-use “core” business data securely and cost-effectively across platforms and users.

    Scalable frameworks and templates for further research and studies into regional dynamics.

    Plan and partnerships to build a user ecosystem and test platform for data exchange.

    Clear project opportunities and expressions of interest from leading research institutions.

    • SINTEF invitation to join the EU Horizon “EnrichMyData” industrial research project with OECD.
    • Dialog with SINTEF and NTNU-NorCIS to establish NRC Collaboration Project in cybersecurity.
    • Private sector consortium of digital platforms in NRC Innovation Project (IPN) for data exchange.
    • Assisting INN to establish “Inn-the-Loop” NRC Social Impact Project (KSP) in artificial intelligence.
    • Dialog with INN and IESE Business School to apply for EU Horizon Expanding Investments Ecosystems.

    Want to learn more?

    Contact VentureNet for more information about the project results and collaboration opportunities.

    VentureNet

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