TDCC-NES Projects

The Thematic DCC for the Natural & Engineering Sciences has projects in various stages of development: current active projects; ideas in development, and completed projects.

TDCC-NES projects are developed openly and collaboratively. You are always welcome to contact one of the project team or the project lead if you have an interest in the topic or you see a potential for alignment, participation, or collaboration.

TDCC-NES projects are selected by the TDCC-NES Governing Board according to the Project Decision-Making Principles for the TDCC-NES Governing Board. Each year there is an open call to collect ideas and proposals from the NES community.

Current active projects

Projects in development

During an active project call, ideas in development and open opportunities for participation and engagement will be announced via our news channels. Don't forget, TDCC-NES projects are developed openly and collaboratively, so reach out if you want to know more. See the current call information for the procedure and dates.

The following proposals have been approved by the TDCC-NES Governing Board and will be submitted to NWO with a recommendation for funding.

ECO-SCALE: Building Skills for Large-Scale and Energy-Efficient Scientific Computing in the NES

Project idea description
ECO-SCALE aims to advance the adoption of large-scale computing infrastructures while strengthening skills in energy-efficient computing across small and large scales through a collaborative, community-driven approach. At its core, the project builds a vibrant Community of Practice and Training Network, enabling NES researchers and support staff to collectively explore, test, and exchange best practices for large-scale computing and sustainable, energy-aware research workflows. Moreover, ECO-SCALE develops an openly accessible knowledge base with guidance, documentation, and training materials, complemented by targeted training activities tailored to diverse stakeholder needs. Finally, it disseminates experiences, insights, and lessons learned to relevant national and international communities.

Lead applicants
Serkan Girgin, University of Twente

Project partners
Jelle Treep, Utrecht University
Esther Plomp, Univerity of Aruba
A. Bhawiyuga, University of Twente
Martin van Gijzen, TU Delft
Alessio Sclocco, NLeSC
Adam Belloum, UvA
Ben van Werkhoven, Leiden University
Peter Hinrich, SURF
Carlos Teijeiro Barjas, SURF
Han Verbiesen, TU/e
Rolf de By, Univerity of Twente
Wim Nap, University of Groningen
Chris Kuipers, Maastricht University

BridgeMD: Bridging the Distance between Data Producer and Data Reuser through Automated Metadata Generation

Project idea description
Scientific and engineering research produces valuable datasets, but these are often difficult to reuse across disciplines because they lack documentation tailored to different users. This project will use generative AI to automatically create metadata and descriptions that make data more understandable and usable for diverse communities. By integrating these tools into widely used open-source repositories, researchers, students, and policy makers will be able to access data more easily and apply it across fields. The project will be tested in construction materials, machine learning, and plant sciences, ultimately helping unlock the full potential of FAIR and reusable data.

Lead applicants
Paul Groth, UvA

Project partners
Daphne Miedema, UvA
Dr. Joaquin Vanschoren, TU/e
Dr. Sandra Barbosa Nunes, TU Delft
Felicia Wolters, WUR
Stefan Einarson, Utrecht University Library
Dr. Irene Bonati, SURF
Erwin Hoogerwoord, TU/e
Lucia Collara, UvA

FAIR Field Data Logger: A community-designed, FAIR-by-design, universal platform for environmental IoT data acquisition

Project idea description
This project develops a universal, open-source field-data-logger that makes field measurements FAIR from the beginning. The logger supports traditional and IoT-based data collection, generates standardised metadata right from the start of the measurements, and is compatible with the most common field sensors. Through an iterative, community-driven design process, the logger is tested in various applications, and documented with production manuals, documentation, training materials, and scientific publications. In this way, the project promotes reproducible, reusable, and interoperable field data for researchers, citizen scientists, and various disciplines in the natural and technical sciences.

Lead applicants
Florian Ellsäßer, University of Twente

Project partners
Anđela Tomić, TU Delft
Santosh Ilamparuthi, TU Delft
SURF
KNMI
RIVM
TU Delft Open Hardware
TU Delft DCC
Coöperatief Plan B met UA (Meet je Stad)
UT-ITC (JECAM site, RANGE) 
Citizen Science Hub Twente


Completed projects

The following projects have ended. To find the results of the project, take a look at our list of resources and see our news feed for announcements and details. Some results will be communicated after the project is completed so might not be available immediately.