Conveners
FAIR, Sovereign & Trusted Data - I
- Patrick Fuhrmann (DESY/dCache.org)
FAIR, Sovereign & Trusted Data - I
- Patrick Fuhrmann (DESY/dCache.org)
Description
The exponential growth of research data is reshaping the scientific landscape. What once came mainly from controlled experiments is now complemented by continuous streams from sensors, simulations, and digital interactions. This track addresses how such data can be organized, governed, and used responsibly at scale.
A central focus is the need for trustworthy and sovereign data ecosystems that allow researchers to retain control over sensitive resources while enabling collaboration across disciplines and borders. At the same time, the rise of AI-driven discovery and decision-making places new demands on data quality: models require information that is not only accurate but also transparent in origin, rights, and conditions of use.
Making data FAIR in a machine-actionable way is therefore essential. Automated metadata generation, semantic enrichment, and interoperable catalogues are key to ensuring that data can be reliably found, interpreted, and reused—not only by humans but also by algorithms. By fostering sovereignty, trust, and FAIRness, this track invites contributions on methods, infrastructures, and policies that prepare data to be the backbone of both human and machine intelligence in research.
German large scale research facilities like DESY with its PETRA III synchrotron beamlines are strong partners for universities to conduct cutting-edge experiments, which generate vast amounts of data that often exceed the universities’ storage and compute capacities for analysis. Transferring data over wide area networks is becoming ever more impractical and expensive with the growing amount...
The proliferation of distributed space systems, encompassing large-scale satellite constellations and federated ground segments, is generating unparalleled opportunities for global open science, particularly in the domains of earth observation, intelligence, security, and defense. However, this federated model poses significant challenges to operational integrity and data trustworthiness. The...
"Open Cloud Mesh (OCM) is a server federation protocol that is used to notify a receiving party that they have been granted access to some resource."
This is the simple, yet effective introduction to the IETF draft of the Open Cloud Mesh (OCM) specification. The proliferation of cloud storage solutions has led to a fragmented landscape, where seamless and secure sharing of resources across...
The European Open Science Cloud (EOSC) aims to create a federated, interoperable ecosystem for research data and services, enabling seamless access and reuse across disciplines. The components of this infrastructure are the EOSC nodes: distributed, compliant, and interoperable service providers from research infrastructures that make up EOSC as a whole. This work presents the design,...
Experimental data generated by scientific facilities such as synchrotron radiation and neutron sources provide a fundamental resource for scientific research. With the deepening integration of massive scientific data and artificial intelligence (AI) technologies, the paradigm of scientific inquiry is undergoing a transformative shift. This evolution places higher demands on the integrated...
Taiwan indigenous peoples (TIPs) are a branch of Austronesians or Polynesians. Persistent lack of data on TIPs made TIPs become isolated, marginalized, underdeveloped, and thus “invisible” hard-to-reach populations in the real world. I will address how scientific computing, data science, and open science are applied to build TIPD (https://osf.io/e4rvz) big data based on Taiwan’s household...
