Workshop: Great Data, Great Science

Session

Poster Session

6 Oct 2026, 12:45

Wissenschaftszentrum Bonn

89. Beyond Data Integration: Building Interoperable and Just Urban Knowledge Systems in the Context of Climate Change

Dr Asad Asadzadeh (IGG), Dr Mahsa Moghadas (IGG), Dr Olabisi Obaitor (IGG), Dr Alexandre Pereira Santos (IGG)

Poster

Research in urban sustainability, climate adaptation, and resilience increasingly relies on the integrating of heterogenous data sets, including Earth observation (EO) products, fieldwork and surveys, administrative records, crowdsourcing data, and qualitative stakeholder knowledge. Advances in EO, artificial intelligence (AI) and digital urban technologies have significantly expanded the...

96. bonndata: Das Forschungsdatenrepositorium an der Universität Bonn

Dr Ewa Bres (Servicestelle Forschungsdaten, uni-bonn), Dr Sergej Zerr (Servicestelle Forschungsdaten, uni-bonn)

Poster

Die Publikaton von Forschungsdaten nach den FAIR-Prinzipien ist heute ein zentrales Anliegen von Forschung, Politik und Förderinstitutionen. Mit bonndata betreiben wir seit drei Jahren ein Forschungsdatenrepositorium auf Basis von Dataverse, das sich erfolgreich etabliert hat: Rund 380 Datensätze, 23 Sub-bereiche und eine hohe Zahl der Downloads belegen die wachsende Nutzung. Einen besonderen...

91. Challenges and solutions to research data management and data science in (plant) bioinformatics

Carolin Uebermuth-Feldhaus (University of Bonn), Emil Korintenberg (University of Bonn), Heiko Schoof (INRES Crop Bioinformatics), Jeremy The-Hoffmanns (University of Bonn)

Poster

Abstract
We analyze plant genome data with the aim of understanding genome evolution and linking genome information to plant traits, thereby also supporting breeding of better performing and more resilient crops.
Bioinformatics integrates sequence information, mainly from DNA sequencing, with high-throughput data for example from genomics and phenotyping. The data life cycle in...

93. Connecting Data, Strengthening Research: FAIRagro as a Central Contact Point for Research Data Management in the Agricultural Sciences

Lucia Vedder (University of Bonn), Julian Schneider (ZB MED), Gabriel Schneider (ZB MED)

Poster

Agricultural research increasingly depends on the integration, standardization, and sustainable reuse of heterogeneous research data. Data are generated across disciplines such as agroecology, breeding, plant production, soil science, and vegetable production, and at spatial scales ranging from genes and plants to fields, landscapes, and the global level. The diversity of data types—including...

92. DETECT Data Management

Farzane Mohseni (Institute of Geodesy and Geoinformation, University of Bonn, Bonn, Germany)

Poster

The DETECT (Regional Climate Change: Disentangling the Role of Land Use and Water Management)-Geonetwork data portal is a cornerstone of the CRC 1502 DETECT. This portal is designed to establish and maintain a centralized research data infrastructure. It provides open data services that strictly adhere to the FAIR data principles: Findability, Accessibility, Interoperability, and Reusability....

88. DQ4Agri: From Data Quality Assessment to Reusable Metadata

Sundar Sripada Venugopalaswamy Sriraman (Geoinformation, IGG, University of Bonn)

Poster

Data science in the agricultural domain faces unique data quality challenges. Agricultural datasets are often collected from sensors in the field, processed, published, and made accessible through Research Data Infrastructures (RDIs). The FAIRagro consortium, with more than 30 partners, is building a FAIR (Findable, Accessible, Interoperable, Reusable) research data management system for the...

94. From a biological question to a large-scale data-processing challenge

Jakob Maximilian Horz (Plant Biotechnology and Bioinformatics)

Poster

Large comparative studies increasingly depend on the availability of consistent, high-quality public datasets. We encountered this challenge while investigating the evolution of plant genes. To maximize the number of species in our analysis, we surveyed the publicly available genome sequences of flowering plants in the largest database at the NCBI. While genome sequences of many species are...

95. From More Data to Better Data: Data-centric Machine Learning in Agriculture

Jonathan Hecht (Institute of Geodesy and Geoinformation - Machine Learning in Agriculture), Dr Genc Hoxha (Institute of Geodesy and Geoinformation - Machine Learning in Agriculture)

Poster

Machine Learning (ML) in agriculture is often approached from a model-centric perspective, where the primary focus lies on developing and optimizing model architectures and learning algorithms, rather than on the data itself. This is reflected, for example, in the common practice of training and evaluating ML models on static benchmark datasets with the goal of achieving high predictive...

90. From public genome data to biological insight: A computational workflow for in silico restriction site analyses

Lucia Vedder (University of Bonn)

Poster

In computational biology, the availability and careful handling of high-quality digital data are essential for obtaining reliable and biologically meaningful results. In silico analyses depend on accurate sequence information, and many investigations begin with publicly available genome assemblies retrieved from resources such as the National Center for Biotechnology Information (NCBI;...

97. Great Research Questions + Great Data + Great Analyses = Great Science

Prof. Amelie Schiprowski (University of Bonn, Department of Economics), Dominik Wasielewski (University of Bonn, Department of Economics), Prof. Hans-Martin von Gaudecker (University of Bonn, Department of Economics), Dr Holger Gerhardt (University of Bonn, Department of Economics), Prof. Thomas Dohmen (University of Bonn, Department of Economics)

Poster

As social scientists, economists investigate the determinants and consequences of decisions made by humans and by the institutions they create, across all areas of life. Given the breadth of their research, economists draw on a vast range of data sources, including their own surveys; laboratory, online and field experiments; publicly available datasets; administrative data; data collected by...

98. Infrastructure Services at the Core Facility Research Data Management

Marko Jovanovic (uni-bonn)

Poster

Managing modern medical and biomedical research data requires scalable, integrated, and compliant infrastructures that span the entire data lifecycle. At the Core Facility Research Data Management (University Hospital Bonn/Medical Faculty University of Bonn), we provide a comprehensive suite of digital services designed to support researchers, administrators, and students alike.

This...

81. Operating a Distributed Environmental Data Infrastructure at JSC: Challenges and Lessons from the DETECT Project

Amirhossein Nikfal (Forschungszentrum Jülich)

Poster

Environmental and climate research increasingly depends on large, heterogeneous, and distributed datasets. Managing these data requires not only sufficient storage and computing capacity, but also reliable services for publication, discovery, access, provenance, and long-term reuse. The DETECT project addresses these requirements through a distributed infrastructure operated across...

99. Research Data Management Concept for Large and Heterogeneous Biomedical Dataset

Hannah Miserre, Dr Tugbek Kaya

Poster

Modern biomedical research increasingly relies on large and heterogeneous datasets generated across different experimental platforms, research groups, and core facilities. Within our Research Training Group, these range from sequencing and spatial transcriptomics to proteomics, imaging, electrophysiology, and data derived from mouse models and human tissue. Managing such diverse and...

85. Rhine-Ruhr Center for Scientific Data Literacy (DKZ.2R)

Prof. Jochen Garcke (uni-bonn)

Poster

The DKZ.2R (Rhine-Ruhr Center for Scientific Data Literacy) is one of eleven data literacy centers in Germany funded by the Federal Ministry of Research, Technology and Space (BMFTR). It is expected to be funded till the End of 2028.

The DKZ.2R offers researchers at different career stages a range of different services to improve their skills in dealing with research data. These include...

86. Syndat: An Open-Source Tool for Synthetic Data Quality & Privacy Risk Assessment for Clinical Research

Tim Adams (Fraunhofer SCAI)

Poster

Data-sharing of clinical patient-level data has the potential to accelerate research but is strongly restricted by data protection regulations such as the GDPR. Synthetic data generation (SDG) is a promising alternative to direct data-sharing, but release of synthetic data requires evaluation of fidelity, privacy, and downstream utility. These assessments are non-trivial and often require...

83. Towards FAIR data management for open and reproducible educational materials

Ole Bialas (University of Bonn)

Poster

Open educational materials for data analysis and programming often depend on datasets that need to remain accessible, well-documented, and reusable over time. At the iBehave open technology support (iBOTS), we develop such materials for neuroscience researchers. This raises several research data management challenges: How can datasets be made available through stable public references while...

82. What transforms personal scripts into sustainable scientific software? Principles for developing reusable open-source research tools.

Fabrizio Musacchio (German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany)

Poster

Computational research increasingly relies on custom software to process, analyse, and manage research data, yet most scientific software originates as project-specific analysis scripts developed to answer a particular research question. While such scripts are often sufficient for individual studies, the requirements for reproducibility, transparency, reuse, long-term maintenance, and...

87. XpBrew and PanXpresso - automatic RNA-seq processing workflow and gene expression data collection

Shakunthala Natarajan (Institute for Cellular and Molecular Botany (IZMB), University of Bonn)

Poster

Gene expression analyses are necessary to understand gene function and unravel the genetic basis of biological processes. Omics technologies like transcriptomics enable such expression analyses via techniques like RNA-Seq. Transcriptomic technologies have been subjected to a number of transition stages and have witnessed rapid advancements. Falling prices and enhanced throughput of short read...