Digital Innovation Hubs

DIH Profile

ITI Data Hub (The Data Cycle Hub)

Hub Information

Hub Name
ITI Data Hub (The Data Cycle Hub)
Local Name
Evolutionary Stage
Fully operational
Geographical Scope


The mission of the Data Cycle Hub is to be a reference one-stop shop DIH in the Valencia region to foster data driven and artificial intelligence based innovation. The objective is to bridge the gap between research and industry, specifically SMEs, providing innovative solutions and services that require advanced data analytics, automatic learning and artificial intelligence. 

The Data Cycle Hub has a non-for-profit aim and is coordinated and led by ITI, also a non-for-profit Research Centre and a reference on Big Data and Artificial Intelligence in the Valencia region, with connection to all relevant stakeholders: industry, regional agencies, accelerators, Chamber of Commerce, education, providing a rich ecosystem of technological companies working on these fields.

All the technologies covered by this DIH are around the DATA, from Data Gathering to Data visualization. In this sense, the DIH addresses Primarily Big Data and Artificial Intelligence, but also other key digital enabling technologies like Cyber Physical Systems, IoT, Cloud and High PerformanceComputing Platforms or statistics optimization.

ITI is Founding member of Big Data Value Association (BDVA) and has been labelled by BDVA as iSpace the last 2 years. ITI is working hard in establishing the baseline for a network of Big Data and Artificial Intelligence DIHs.

ITI has two main Data Hubs. One is focused on ITI own experiments with data and AI and the other is oriented to provide services to external experiments coming from more than 50 competence centres in the region and also from companies. The network of competence centres that ITI is leading, groups more than 20.000 SMEs that are potential users of the Data Cycle Hub Services.

Contact Data

Coordinator (Research & Technology organization)
Instituto Tecnológico de Informática (ITI)
Year Established
Ciudad Politécnica de la Innovación - UPV Camino de Vera, s/n. Bldg. 8G. Acc. B – 4th Floor, 46022, Valencia (Spain)
Social Media
Contact information
Daniel Sáez Domingo
+34 963877069 / +34 690031006


Organizational form
(Part of) Private organization
Number of employees


  • Cyber physical systems
  • Internet of things
  • Artificial intelligence
  • Cyber security
  • Advanced, or high performance computing
  • Big data, data analytics, data handling
  • Software as a service and service architectures
  • Cloud computing
  • Logistics

Data Cycle Hub originated in ITI Technology Centre. ITI is closely linked to IVACE (Valencian Institute for Business Competitiveness), and has been working with It in the RIS3CV strategy since the beginning, carrying the ICT secretariat out and working with all the ICT ecosystem. ITI developed the Industry 4.0 Agenda in the Valencia Region.

Activities of the Data Cycle Hub are aligned with almost all ther RIS3CV areas, including Industry (working directly with the Industry 4.0 Lab with IVACE), Health, Tourism, Agrifood, Habitat and Cities, Transport, Energy (also working in Smart Grid Lab with IVACE), all them included in the RIS3CV priorities.

ITI is also working with the Valencian Agency for Innovation, creating a big alliance of Competence Centres in Enabling Technologies (TECH4CV) where the Data Cycle Hub is a key element to coordinate all of them.

At national level, ITI is member of Planetic and is working on Spanish Big Data Initiative promoted by Ministry of Economy.

ITI is also linked to the Industria Conectada 4.0 programme from the same Ministry in Spain, and has become a key player in the Activa Industria activity within this programme since 2017, leading the UNITI4.0 group that has been homologated as an assesment and roadmap provider for Industry 4.0

In addition to Planetic, ITI is member of different Spanish technology platforms focused on Digitising Industry like Manuket or Logistop (Board member)

At European level, ITI is Founding member of BDVA and is a labelled iSpace (silver level). ITI is co-leading the iSpace subgroup in BDVA, working for creating a network of iSpaces/DIH in Big Data in Europe.

ITI is also member of AIOTI, ECSEL or Networld 2020

Market and Services


  • Agriculture and food
  • Wholesale and retail
  • Transport and logistics
  • Life sciences & healthcare
  • Manufacture of food products, beverages and tobacco
  • Manufacture of textiles and textile products
  • Manufacture of leather and leather products
  • Manufacture of wood and wood products
  • Manufacture of pulp, paper and paper products; publishing and printing
  • Manufacture of coke, refined petroleum products and nuclear fuel
  • Manufacture of chemicals, chemical products and man-made fibres
  • Manufacture of rubber and plastic products
  • Manufacture of other non-metallic mineral products
  • Manufacture of basic metals and fabricated metal products
  • Manufacture of machinery and equipment
  • Manufacture of electrical and optical equipment
  • Manufacture of transport equipment
  • Other Manufacturing

TRL Focus

  • TRL4 - Component and/or breadboard validation in laboratory environment
  • TRL5 - Component and/or breadboard validation in relevant environment
  • TRL6 - System/subsystem model or prototype demonstration in a relevant environment
  • TRL7 - System prototype demonstration in an operational environment
  • TRL8 - Actual system completed and qualified through test and demonstration

Services provided

  • Awareness creation
  • Ecosystem building, scouting, brokerage, networking
  • Visioning and Strategy Development for Businesses
  • Collaborative Research
  • Concept validation and prototyping
  • Testing and validation
  • Pre-competitive series production
  • Digital Maturity Assessment
  • Market intelligence
  • Access to Funding and Investor Readiness Services
  • Education and skills development

Service Examples

Predictive maintenance (Technology)

Short description

Many different problems arise during the daily operation of a plant, but in most cases they can be solved within the safe interval granted by the use of intermediate stock, they only require spare parts that are commonly available, and do not require specific skills from the maintenance staff. However, there are a number of critical components and operations that, in case of failure, have devastating consequences in the production line, directly increasing the unscheduled downtime, and producing side effects in the resource and production planning. These are the failures we are focusing on.

Critical equipment failure can obstruct the operation during 2 or 3 shifts or even more, in case the required staff is not available or spare parts are not in stock. It obviously blocks the whole production for hours, causing high economic losses and affecting the OEE metrics of the whole plant. In these particular cases, the cost savings of a sound predictive maintenance solution is worth the cost of condition monitoring equipment.

The adoption of predictive maintenance techniques will dramatically improve the efficiency of the plant, minimizing (i) the time the equipment is under maintenance and (ii) the average time elapsed between breakdowns of a system; while maximizing the percentage of the total number of maintenance hours spent on planned maintenance activities in a given time period. The expected impact can exceed 1 million euros a year, thanks to the extension of the lifetime of components and the prevision of availability of stock and maintenance staff for each reparation.

Service Provided

Development of predictive models based on Machine learning and multi variant analysis to anticipate the failure of a critical machine in a process.

Data is gathered by specific and standard sensors in the plant and is left in a data lake. Some data curarion techniques are needed to improve the quality of that historical data. AI techniques are applied to the data to create working models. Real time data are processed using the models and an estimation of the failure is given.

Prognostic Maintenance techniques applied to critical components will categorize the predictions into 3 time intervals: time to breakdown <1 month; < 2 months; >2 months. The availability to know the breakdown probability, along with a level of confidence for the prediction, will allow the customer to schedule the appropriate resources inside the planned maintenance window. This will reduce significantly the cost of the maintenance intervention by considering only maintenance personnel and spare parts, removing cost of lost working hours.

Relation with Digitalization

This service covers all the digitalization cycle, from the data collection  to data visualization. It give a platform to improve the quality of processes and products by means of digital technologies.

Name of the customers

NOATUM Container Terminal (working in Transforming Transport (H2020) project)

Ford Spain (Working in CARES (CDTI) and ZDMP (H2020) Projects)


Data & Technology watch (Business development)

Short Description

In a fast changing world, access to innovative, cutting-edge market information and trends is key to improve business success. Companies need to be aware of emerging needs, market trends and competition early movements. To this end, market foresight and prospective instruments are needed. However, these instruments are not generally affordable by SMEs. Being aware of this barrier, the DIH provides competitive intelligence services supporting SMEs strategic decision-making

Service provided

The DIH provides market intelligence services to its associated companies (+220 SMEs from the Valencian region) to show present and future market trends related to the ICT domain. Two services are provided. One is the ICT Observatory (, which provides SMEs with key information to identify technological and market trends. This service is being delivered since 2008, comprising until now more than 38167 entries (1874 in 2016), covering patents, strategic agendas, reports, news items and papers from specialized sources, tenders, and public calls; all from the ICT domain. On the other hand, the DIH also produces technological and market trends analysis reports related to the ICT domain, either by-request or proactively to the associated SME community. Examples of these reports (in Spanish) are: “ICT for the Future Industry. Trends report” (2014); “ICT trends at international level: Factories of the Future” (2015, IGAPE); “Big Data: The value of the data. Current status and trends as a new asset for the European economy” (2015); “From IoT to Cyber-Physical Systems. Trends report” (2016); “Market analysis of advanced data analysis services in the Valencian industrial sector” (2016, by-request, private). Some of these reports have been publicly delivered, to facilitate SMEs better decision making and the definition of strategic actions to improve their competitiveness.

Relation with Digitalization

All the market intelligence services provided are related to the ICT domain (and several of them covering the application to the Manufacturing sector), and are contributing to increase the digitization degree of the businesses of the Valencian Community region.

Name of costumers

Among others: Big Data Value Association (BDVA), IVACE (Valencia regional government), IGAPE (Galicia regional government), COIICV (association of Valencian ICT professionals), Valencian ICT SMEs

TECH4CV (Ecosystem & Business Development)

Short Description

The expectations generated by the new knowledge-based economy model, very much aligned with the concept of ""4.0"", are very high, as it is becoming commonly heard of Artificial Intelligence, Robotics, Big Data, Cybersecurity, ... The pace of change of Enabling Technologies is so high and there are so many different technologies available that companies do not know which is the best option for investments. It is not usual to have demonstration centers where companies can observe the technologies in operation and evaluate their impact, or centers in which to experiment with the technologies before deciding to make a real implantation in the company.

Therefore, single access points are needed through which companies can access neutral information on any technology or enablers and personalized advice, whatever their size and sector is, to make the best decisions regarding technological investments to be made or business models to be defined in the knowledge-based economy. Similarly, these single access points must be prepared and coordinated so that companies can develop pilot projects and tests of technologies in laboratory environments prior to the purchase or launch of a technological product to the market.

Service Provided

Coordinate a point of reference for access to the scientific-technical capabilities in Enabling Technologies that allows to provide or create solutions to the present and future problems of any company in the Valencian Community based on the combination of knowledge and results of the different centers of competencies, facilitating the path to a productive model based on Innovation, Technology and Knowledge.

The points addressed by the service are:

  • Coordinate the set of actors with technologies, products, services and infrastructures related to the enabling technologies for the creation of solutions to the current and future problems
  • Define the technological challenges facing the CV and a roadmap of coordinated projects to be addressed
  • Promote the development of new high-impact enabling technologies for the CV
  • Analyze the sectors and their transformation potential through the implantation of enabling technologies
  • Across the technologies and their impact to the companies through realistic and advanced demonstrators
  • Contribute to the definition of the bases of calls for support to companies and other agents for their competitive improvement
  • Monitor the actions developed and measure the impact achieved

Relation to Digitalization

Enabling Technologies provide the basis to promote innovation in various sectors. The mastery of these technologies is considered crucial to guarantee the competitiveness of the industry in the knowledge economy. Enabling Technologies allow the development of new goods and services and the restructuring of the industrial processes necessary to modernize the industry and favor the transition to a knowledge-based, efficient and environmentally sustainable economy. They are knowledge-intensive technologies identified as candidates to cause disruptions in the economy and society over the next 10-15 years, according to different international technological prospection studies.

Digital Tecnologies, including Artificial Intelligence, Computing, Cyberconnectivity and cybersecurity represent an importat group of enabling technologies.

Name of the Customer

This is a service for the Valencian economy as a whole.

Chronic disease prediction (Technology)

Short Description

Chronic Diseases and Conditions (CDCs) are the major cost of morbidity and mortality and lead to 86 % of all deaths. CDCs account for more than 75 % of the healthcare burden in Europe, with a cost for the economy of €700 billion per year. Moreover, the number of CDCs that occur simultaneously in individual patients increase with aging. This is a serious problem if we take into account the rapidly growing aging population.

Service Provided

Predictive models to characterise the disease trajectories and care pathways of a large patient population over an extended period of time.

Relation with Digitalization

Predictive models in health require the analysis of big amounts of data coming from different sources (heterogeneous). Digital data is needed to be able to produce those models

Name of Customer

INCLIVA (working in BigMedilytics (H2020) and regional projects among others)

Radiatus (Technology)

Short description

Design and prototyping of Big Data Analytics elastic services (BDAaaS) in the cloud based on the ECloud platform - Platform as a Service (PaaS) - that allow users of companies, especially SMEs, to absorb the complexity of Big Data infrastructure management and focus on the data analysis itself at a reasonable cost. In short, this is an experimentation Big Data Analytics service in the cloud for processing of batch data and also data acquired in Streaming.

Service provided

Elastic infrastructure that allows the democratization of Big Data Analytics solutions among the Valencian SME making transparent for the user (data scientist) the instantiation process and removing the intrinsic difficulties of massive data processing in streaming.

Relation with Digitalization

Digital transformation is already a reality and the adaptation of companies to this new paradigm requires the intensive use of technologies that allow the exploitation of the data they generate as a competitive advantage. Companies are aware of this need, as reflected in the results from reports such as those published by OBS which indicate that 65% of companies know they are at risk of becoming irrelevant or non-competitive if they do not adopt Big Data technologies .

However, the adoption of Big Data Analytics technologies is not within the reach of any organization, as it requires a complex infrastructure and trained personnel that only large companies have. According to the latest data published by the Ministry of Economy, Industry and Competitiveness, in the Community of Valencia, 99.91% of companies are SMEs, which explains the potential impact of RADIATUS for the ICT sector itself (as a technology offerer) and for the rest of the Valencian sectors (as a technology seeker). This service aims to, on one hand, facilitate to the ICT companies the configuration and automatic deployment of Big Data Analytics services in SaaS (BDAaaS) mode for the purpose of reducing complexity and instantiation times and, on the other hand, so that the rest of the Valencian sector industries can benefit from the advantages of exploratory data analysis without incurring in high cost investments. In short, to improve the offer and positioning of the ICT sector to respond to the growing demand for services of Big Data Analytics (BDAaaS) in the region, which allow democratization of the use of this type of technology, favoring the development of innovative services and the generation of quality employment.

Name of customer

Different customers from retail, transport and industry sectors


  • Horizon 2020
  • European Regional Development Fund
  • National specific innovation funding
  • Regional funding
  • Private funding
  • Memberships


Number of customers annually
Type of customers
  • Start-up companies
  • SMEs (<250 employees)
  • MidCaps (between €2-10 billion turnover)
  • Large companies, multi-nationals
  • Research organisations
  • Partners

    H2020 Projects

    • BEinCPPS
      Business Experiments in Cyber Physical Production Systems

      Business Experiments in Cyber Physical Production Systems

      BEinCPPS Innovation Action aims to integrate and experiment a CPS-oriented Future Internet-based machine-factory-cloud service platform firstly intensively in five selected Smart Specialization Strategy Vanguard regions (Lombardia in Italy, Euskadi in Spain, Baden Wuertemberg in Germany, Norte in Portugal, Rhone Alpes in France), afterwards extensively in all European regions, by involving local competence centers and manufacturing SMEs. The final aim of this Innovation Action is to dramatically improve the adoption of CPPSs all over Europe by means of the creation, nurturing and flourishing of CPS-driven regional innovation ecosystems, made of competence centers, manufacturing enterprises and IT SMEs.The BE in CPPS project stems upon three distinct pillars:• A FI-based three-layered (machine-factory-cloud) open source platforms federation, integrated from state-of-the-art R&I advances in the fields of Internet of Things, Future Internet and CPS / Smart Systems and able to bi-directionally interoperate data pertaining to the machine, the factory and the cloud levels.• A pan-European SME-oriented experimentation ecosystem. In a first phase of the project, the five Champions will provide requirements to the platforms integrators. In a second phase, an Open Call for IT SMEs developers (applications experiments) will award 10 third parties. In a final third phase, the extended platform will be instantiated and deployed in additional 10 third parties equipment experiment SMEs.• A well-founded method and toolbox for Innovation management, where an existing TRL-based methodology for KETs technology transfer will be enriched by a CPPS certification, education and training programme for young talents and experienced blue collar workers and by a well-founded three-fold (objectives-variables-indicators) method for results assessment and evaluation.

    • DIH4CPS
      Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs

      Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs

      The initiative for Fostering DIHs for Embedding Interoperability in Cyber-Physical Systems of European SMEs (DIH4CPS) will help European enterprises overcome these innovation hurdles and establish Europe as a world leading innovator of the Fourth Industrial Revolution. DIH4CPS will create an embracing, interdisciplinary network of DIHs and solution providers, focussed on cyber-physical and embedded systems, interweaving knowledge and technologies from different domains, and connecting regional clusters with the pan-European expert pool of DIHs. Backed by the IVLab, an experienced and well-established network organisation focussed on Interoperability, DIH4CPS can innately build on an extensive existing network, add value to its existing knowledge transfer capabilities and guarantee the sustainability of the growing DIH network. DIH4CPS expands the already existing network and aims for creating an integrated platform for DIHs from different, especially digitally underdeveloped sectors and regions. A selection of eleven initially starting application experiments guarantees an outstanding funding for European SMEs and Mid-Caps right from the start and demonstrates the high dedication of the consortium to reduce the digital divide. At least ten additional experiments will take up that torch during the project and allow external companies from sectors in need to further exploit the DIH4CPS network and uplift their portfolio, especially by including (semi)-autonomy into their products and systems. DIH4CPS will not only benefit the application experiments but also the individual DIHs by significantly complementing the regional investments made. Implemented in the IVLab structure, the DIH4CPS Network will leverage and sustain its impact far beyond the project duration, creating a vibrant, overarching and cross sector one-stop-shop for collaboration between SMEs, DIHs and Tech providers.

    • EUHubs4Data
      European Federation of Data Driven Innovation Hubs

      European Federation of Data Driven Innovation Hubs

      EUHubs4Data will set up a European federation of Big Data Digital Innovation Hubs (DIHs), with the ambition of becoming a reference instrument for data-driven cross-border experimentation and innovation, and support the growth of European SMEs and start-ups in a global Data Economy.
      Based on the concept “European catalogue, local offer”, EUHubs4Data will establish a Europe-wide, sustainable ecosystem drawing upon local expertise and achievements of European initiatives and national/regional Big Data DIHs, with the three-fold objective of:
      (1) creating a European catalogue of data sources and federated data-driven services and solutions;
      (2) making this offer accessible at the regional level so that European SMEs, start-ups and web entrepreneurs have access to the most valuable assets and expertise on the continent;
      (3) fostering cross-border and cross-sector data-driven experimentation facilitated through data sharing, and data & service interoperability.
      To achieve these objectives, the project relies on:
      • a strong initial ecosystem of 12 Big Data DIHs from the 4 EU poles, linked to European Data Incubators and SME networks;
      • a multi-dimensional approach (governance, operations, technical, ethical and legal aspects, interoperability, skills) for the expansion of the federation (growing up to 30 DIHs);
      • a strong offer of services and access to data sources, based on an initial set of solutions for data and service interoperability, and including a coherent and diverse training programme;
      • the capacity to attract, support and engage SMEs, start-ups and web entrepreneurs (40 cross-border experiments, and 60-80 companies directly involved in the data-driven innovation programme);
      • a community and ongoing collaborations with 60 relevant European Initiatives;
      EUHubs4Data initially covers 12 EU regions in 9 countries, and plans to expand to more than 20 regions and 14 countries during the project, establishing a long-lasting sustainable ecosystem

    • REACH
      EuRopEAn incubator for trusted and secure data value CHains

      EuRopEAn incubator for trusted and secure data value CHains

      Europe has an opportunity to have a leading position on Data Economy, particularly in B2B scenarios. Special focus must be placed on accessing, sharing and reuse of data in an environment of security and Trust, which are fundamental preconditions for the Data Economy. The support of pilot projects and innovation spaces for experimenting with cross-sector multi-stakeholder data innovation is therefore urgent. Efforts need to concentrate on the provision of trusted and secure privacy-aware analytics solutions allowing for the secure sharing of proprietary industrial data along with personal data. REACH aims to launch a sustainable European-wide second-generation incubator for data-fuelled start-ups & SMEs aiming to develop innovative experiments within data value chains. REACH will launch 3 Open Calls expecting to attract +500 data driven concept-applications and select 100 business ideas to undertake a 4-phases funnel Tech-Biz acceleration programme (EXPLORE - EXPERIMENT - EVOLVE - EXPOSE). REACH aims to support the generation of new data-fuelled products & services, drive the development of solid businesses, trigger revenue growth and foster the access to new funding rounds, by offering a full service pack consisted of: tech-training and experts, datasets, technological bricks for secure and trusted data value chains, computing infrastructures, business development training & coaches and up to €120k equity-free funding. REACH will demonstrate that Data Silos can be broken by enabling a multi-stakeholder cross-sectorial incubator to boost data-fuelled sustainable solutions, leveraged by the capacities of the best data-driven DIHs in Europe. Besides a solid consortium to access world class startups/ SMEs and deliver high valuable technological & business services, REACH integrates 3 DIHs and 9 public/ private data-providers and 2 private investor brokers. We aim to generate 10M€ volume investment for SMES creating 15 data value-chains delivering fit-to-market products

    Last updated: 23/01/20 14:33