Unlocking the potential of data analytics in collaborative research
4th June 2026, 11:30-13:30, online
Innovation is increasingly driven by the capacity to gather and manage data. They help to take decisions related to a complexity of actors, value chains, and economic, legal, sustainable, and social requirements, while allowing to develop and adapt faster during research and innovation processes.
Data management techniques and their use for predictive modelling, including big data handling and AI algorithms, are increasingly seen as a competitive factor and a premium criterion in cooperative research projects. Since several years, a Data Management strategy is mandatory in all EU projects. Data analysis and modelling are also increasingly important to combine results of impact assessments (e.g. as indicated by the Safe and Sustainable by Design framework).
Despite these efforts, several barriers still hinder their efficient use and exploitation, including aspects such as:
- Interest and resources of parties to share research data (e.g. including failure data) and build unbiased data sets
- Capacity to build relevant and FAIR (Findable, Accessible, Interoperable, and Reusable) raw data sets
- Scoping of data analysis (e.g. experimental data, correlations, predictive models, etc.) and selection of appropriate methods and tools
- Use and interpretation of results based on diverse data sets and models
- Sharing and using data and analytical results within and outside the consortium
Based on the experience of running European projects on material research, this workshop aims to promote awareness and to share views and experiences on data analysis from both researchers, and data management experts and practitioners.
Register here
Agenda
Setting the scene
- Andrea Porcari, Airi- Italian Association for Industrial Research (IT), and Claudia Amabile, PDC- Process Design Center (NL)
Gap analysis on data management and predictive modelling
Panel discussion on data management & FAIR data and Predictive modelling
- Tassos Papadiamantis, Entelos Institute (CY)
- Barry Hardy, Edelweiss Connect (CH)
- Vince Hop, Process Design Center (NL)
- Álvaro Ojeda, Idener (ES)
Q&A
Closing remarks
Who should attend?
Research and Industry experts, partners of European and national research projects, data providers and end users. This is an opportunity for exchange knowledge and experiences, identifying gaps, good practices, and learnings on the topic.
Info: info@bioring.eu
Organizers
BIORING: Develops bio-based building blocks for novel high-performance UV-cured biocoatings with enhanced thermomechanical performance, providing a viable alternative to existing fossil-based ones for automotive, construction and furniture use cases.
BIOSAFIRE: Develops safe, sustainable flame-retardant materials using a science-based and socially responsible approach. It upscales and broadens available feedstocks to provide flame retardant in powder formats for five applications in naval, railway, household goods, and wood coatings sectors.
BioPhenom: Explores biophenols from industrial biomass side streams as replacement of SVHC in the development of safe & sustainable, bio-based, flame-retardant, and recyclable materials like wood products, CF thermoset composites, and thermoplastics for various industrial applications.
DESIDERATA: Develops safer and sustainable alternatives to substances of concern with flame retardant, plasticiser, and surfactant properties. It enhances interoperability, improving data sharing across the value chain, and promotes market uptake of sustainable alternatives fostering collaboration between industry, research, and society in the construction, 3D printing, industrial manufacturing, and injection molding sectors.
SuperBark: Explores softwood bark to develop new bio-based adhesives and coatings for a range of industrial applications. It improves the sustainability, health and safety profiles of adhesive and coating products compared to fossil-based solutions.
SurfToGreen: Develops new portfolio of fully bio-based surfactants, realized by transforming agricultural and forest residues, and other locally sourced feedstock into new safe, sustainable, and scalable solution for the European bio-based economy.
DATA4CIRC: Develops an innovative data-sharing framework to help European manufacturing prepare for a more sustainable future. It improves access to the information factories need to efficiently and safely recover, recycle, and reuse materials, and move towards a circular economy.
