DEMAND – Handling Data Safely, Responsibly, and Efficiently

Our data driven world demands efficiency, security and responsibility.

DEMAND creates data tools aimed at organizations and companies for these purposes. In this day and age, digitalization is key to everything – and it’s here to stay. There is so much data available, but at the same time there are still many unanswered questions about how to use it in an effective, sustainable and safe way. DEMAND aims to answer these questions. How? By combining our knowledge and optimizing data chains for companies and organizations in the public sector. Read more about what our goals are and who we work with.

About DEMAND

Latest News (in Dutch)

DEMAND Meetup – GenAI Engineering
Op 1 april organiseerde Fontys ICT een meetup over GenAI Engineering. Petra Heck (Fontys ICT) trapte af met een kort overzicht van wat GenAI Engineering is en hoe GenAI ingezet kan worden binnen data engineering.
DEMAND and Alliander Bring the Energy Community Together Around Energy Data Spaces
Do you work on data and innovation in the energy domain? Join the DEMAND Community Event on Tuesday, 19 May 2026. Together with Alliander, we are bringing researchers, professionals, and partners together during Arnhem Electricity Week.
Inzichten uit het Community Event: data delen in de praktijk
We kijken met veel plezier terug op een informatief en inspirerend Community Event van 27 januari bij de HAN in Nijmegen. Het centrale thema van de dag was data delen. In dit artikel lees je meer over een aantal lezingen. Onderaan het artikel zijn de presentaties te downloaden.
Terugblik op de MLOps- workshop
De MLOps-workshop tijdens de SURF Research Bootcamp trok veel belangstelling. De sessie werd verzorgd door Pieter Zeilstra en Evander van Wolfswinkel (Saxion) en vond plaats in het Experience Center van het Radboudumc.

Agenda

Meld je aan voor het Community Event – Energy Data Spaces
Op dinsdag 19 mei staat het Community Event in het teken van Energy Data Spaces: hoe delen we data tussen verschillende partijen, hoe benutten we die slim en hoe organiseren we samenwerking rond data in het energiedomein?
Save the Date – AmI Symposium
Op 8 oktober vindt het AmI Symposium plaats van 12.00 – 17.00 bij Saxion in Enschede. We praten je bij over onderzoek op het gebied van technologie en hoe deze aansluit bij mensen.

Workgroups

Data Governance

How to organize data management emphasizing roles and responsibilities?

Lead: Donné de Ruijter (Alliander)
Topics: Data mesh, Data products, Data Ownership, Data Spaces, Data Ecosystems.

Data Ethics & Privacy

Ethics and privacy by design: what and how?

Lead: Kim Meijer (HAN University of Applied Sciences)
Topics: Data Spaces, Better professional by taking ethical considerations into account, Decision Model in Legal Gap and Moral Compass, Imbalance between privacy and transparency, Code of Conduct versus Accountability

Data Semantics

Datasemantics and -modelling as the core of data management, but in view of a changing context.

Lead: Carla Arauco (Gorilla IT)
Topics: Data Spaces, Data veracity, Information Modelling, Ontologies, Concept Mining, Knowledge Graphs

Data Spaces

From siloed data ecosystems and disconnected stakeholders to interoperable data spaces enabling trusted data-sharing. And from isolated data exchanges and inconsistent governance to standardized, secure, and scalable data collaboration frameworks.

Lead: Pieter Zeilstra (Saxion)
Topics: 
- Data sharing
- International Data spaces
- GaiaX
- Data space connector
- Data interoperability
- Opensource data space components
- Minimal Viable Data spaces

Data exploration & Visualisation

From traditional decision making to data-driven decision making, empowered by analysis, interpretation, and visualization.

Lead: Mettina Veenstra (Saxion)
Topics: Data exploration, Explainable AI, Business intelligence, Digital twin, Data interfacing.

MLOps

Data-driven AI engineering: How to operationalize machine learning models, focused on the necessary data infrastructure. Data pipelines in production for ML models.

Lead: Petra Heck, Merel Veracx (Fontys)
Topics: DataOps, Data Wrangling, Data Science & ML platforms & pipelines, Data drift.

LLM Engineering

Data architecture for trustworthy LLM applications.

Lead: Leon Schrijvers, Petra Heck (Fontys)
Topics: Document databases, RAG (Retrieval Augmented Generation), Open Source LLMs, Testing RAG/LLMs, Chunking.

Universities of Applied Sciences

Partners

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