This ORD project explores the optimal use of 3D models of ETH’s entomological and earth science specimens, establishing tools, metadata requirements, and best practices. The models have already been featured in three public exhibitions, reaching tens of thousands of visitors.
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ORD Explore Project
Consuelo De Moraes, Michael Greeff, Iwan Stössel-Sittig, ETH Zurich
Sarah Kenderdine, EPFL
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Intraspecific genetic diversity is a fundamental component of biodiversity, underpinning the persistence and adaptive capacity of wildlife populations in a changing environment. GenDiB is a centralized database of genetic diversity within wild populations in Switzerland, providing a single access point to dispersed and previously unpublished datasets. Through an interactive map, these data are made openly accessible for research, education, and conservation.
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ORD Explore Project
F. Gugerli, P. Feulner A. Weber, Eawag
F. Martin, ETH Zurich
C. Buser, I. Iosifescu, L. Wotruka, WSL
GPM-API makes global satellite precipitation data easier to access, analyze, and visualize. This image shows the average rainfall on 1 January, derived from 30 years of IMERG observations. The software helps make satellite data more accessible, efficient to use, and easier to explore.
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ORD Contribute Project
Gionata Ghiggi, EPFL
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In catalysis, a chemical reaction is accelerated by adding a substance that is not involved in the reaction itself. The Catalysis Hub project – Swiss Cat+ is a national infrastructure that promotes these processes and makes them accessible to all researchers. The Matryoshka file, developed at EPFL Swiss Cat+, is a digital package that bundles entire chemical experiments – including raw data, metadata and failed experiments – into a portable format. Because Matryoshka files adhere to the FAIR principles and follow a standardised ontology, the results can be easily found, shared, compared and reused for analysis, AI and automation.
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ORD Explore Project
Mieville, Pascal, Oksana Riba Grognuz, EPFL
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Health Data Wearable devices are becoming central to healthcare, industry, and research—but the lack of common standards makes it hard to share and reuse data. MEDWEAR addresses a FAIR standard and library for raw vitals data in both biomedical research and clinical environments.
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ORD Explore Project
Diego Paez, Oliver Stoller, C. Awai, ETH Zurich
The Modern Ocean Sedimentary Archive and Inventory of Carbon (MOSAIC) database compiles data from over 25’000 marine sediment cores globally. The new API displays the database in a user-friendly website and allows users and researchers to seamlessly query the database.
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ORD Contribute Project
Sarah Paradis, ETH Zurich
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This ORD project developed a visualization platform for the pNEUMA dataset, a significant urban traffic data collection from drones. The pNEUMA dataset is now easier to explore and understand. Our open visualization platform helps users find relevant large multimodal traffic data and examine traffic conditions through maps and simple indicators such as vehicle counts, speeds and traffic flows. The image shows how urban traffic can be captured from above by drones.
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ORD Contribute Project
Emmanouil Barmpounakis, EPFL
OpenSPM stands for open scanning probe microscopy, instead of using an optical or electron-optical method, the image is generated by a probe interacting with the sample. Commercial manufacturers of SPM instruments often keep their technology proprietary and therefore closed. This limits access. It also hinders innovation. OpenSPM builds an open ecosystem around developments in open-hardware atomic force microscopy, workshops, and early adopters, helping researchers share knowledge and technology, spread new ideas faster, and reduce reliance on closed commercial systems.
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ORD Explore Project
Georg Fantner, EPFL
TreeNet is an international monitoring and research network that links research findings from carbon flux sites with dendrometer data across entire landscapes to better understand forest ecosystem responses to climate change. A continuous stream of microclimate and tree physiology data provides real-time insights into tree water relations and growth dynamics. The ORD project is developing a machine learning model that integrates with the real-time TreeNet data collection infrastructure, as illustrated in the figure. The model automatically fills gaps in measured time-series data, enabling TreeNet users to work with complete and consistent datasets.
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ORD Explore Project
Mirko Lukovic, WSL
Tree rings contain detailed information about how trees grew and responded to their environment. The ORD Project Xcell created TRIA, an open online platform that provides a home for this valuable data. It enables researchers to preserve, explore and share their data, making it accessible for new discoveries while ensuring that the original data producers are credited.
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ORD Explore Project
Patrick Fonti, Ionut Iosifescu, Georg von Arx, WSL
Open Research Data Projects
Projects funded in the framework of the ORD Program
The joint ORD program of ETH Zurich, EPFL and the four research institutes of the ETH Domain has financially supported more than 60 research projects in the period 2020–2023. Funding supports researchers engaging in, or developing, ORD practices with and for their community and assists these researchers in becoming Open Research Data leaders in their field.
This page provides an overview of these projects. It highlights how researchers in the ETH Domain are currently applying ORD in exemplary ways. Some of the projects have already been completed, others are still in progress. The projects have been divided into three categories.
“Establish” projects help link existing ORD practices to a research agenda to establish them on a broader basis. They contribute to a shared and comprehensive understanding of ORD practices that can then become de facto standards.
“Explore” projects are the most extensive ventures in the program and are designed to explore and test early-stage ORD practices. The goal is to map processes of what an ORD practice might look like and develop prototypes. Through these projects, new teams form across disciplines and institutions.
“Contribute” projects help scientists integrate their research data into existing, often international, infrastructures. By standardizing the processes and making them generally accessible, the data are validated, and their potential is considerably expanded.
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