About this page
NFDI4Earth and NFDI4Biodiversity meet in Bremen between the 22nd and 25th September 2025, with a joint conference program on the 23rd and 24th of September.
The joint sessions offer several possibilities for contributions: a Postersession, a Software & Tools Marketplace and a Barcamp Session.
Please note: The Call for Contributions was open till July 14 and is now closed.
Overview of the conference programm
| 22 September 2025 | 23 September 2025 | 24 September 2025 | 25 September 2025 | |
|---|---|---|---|---|
| morning | NFDI4Earth Plenary | Joint session
| NFDI4Biodiversity Plenary | |
| afternoon | NFDI4Earth Plenary | Joint session
| NFDI4Biodiversity Plenary |
List of Accepted Posters
| Poster Number | Title | Authors |
| 1 | High Resolution Measurements of Essential Climate Variables at the Ocean’s Skin and Near-Surface Layer | Ayim, S. M; Gassen, L.; Jaeger, L.; Lehners, C.; Ribas-Ribas, M.; Wurl, O. |
| 2 | Towards a Unified Controlled Vocabulary for Device Types in Helmholtz Research Area Earth and Environment | Dorothee Kottmeier; Norbert Anselm; Linda Baldewein; Gregor Börner; Nils Brinckmann; Romy Fösig; Robert Huber; Felix Mühlbauer; Andrea Pörsch; Corinna Rebmann; Paul Remmler; Emanuel Söding |
| 3 | Bioschemas for Biodiversity - Introducing a White Paper for its Implementation and Adoption in NFDI4Biodiversity and beyond | Lars Möller; Marcus Ernst; David Fichtmueller; Uwe Schindler; Claas-Thido Pfaff; Stefan Seifert; Cornelia Fürstenau; Lorenz Reimer; Julius Witte; Christian Ebeling |
| 4 | The Annotated Research Context - Practical Applications from the Biodiversity and Agroecology Domain | Feser, Manuel; Arend Daniel; Weil, Heinrich Lukas; Mühlhaus Timo; Scholz Uwe |
| 5 | Unlocking BioZeit’s Data Treasures through FAIR Archiving | Dr. Patricia Landaverde; Dr. Dr. Jörg Hoffmann; MSc. Akansha Rawat; Dr. Tanja Rottstock |
| 6 | FAIRenrich: Empowering FAIR and Scalable Annotation Workflows in Earth System and Biodiversity Sciences | Alexander Wolodkin, Jonas Grieb, Claus Weiland |
| 7 | Advancing Marine Research through Integrated Metadata Management at IOW | Manja Placke; Susanne Feistel; Christiane Hassenrück |
| 8 | spatial.IO – A Cloud-Ready, FAIR-Compliant Spatial Data Management System | Rebekka Lange, Christian Schulz, Thomas Schnicke, Jan Bumberger |
| 9 | time.IO – A FAIR Digital Ecosystem for Scalable Environmental Time Series Data Management | David Schäfer, Martin Abbrent, Nils Brinckmann, Joost Hemmen, Ralf Kunkel, Christof Lorenz, Peter Lünenschloß, Bert Palm, Thomas Schnicke, Christian Schulz and Jan Bumberger |
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| 12 | LLM-enabled I-ADOPT Variable Extraction using Semantics | Christof Lorenz |
| 13 | KICS-ZERT: AI and citizen science-supported monitoring of certified biodiversity projects | Josepha Schiller; Yutong Zhou; Masahiro Ryo |
| 14 | NFDI4Earth Chatbot: From Living Handbook Articles to Interactive Dialogue | Ralf Klammer; Auriol Degbelo |
| 15 | Anleitung zur Erkundung von Raum- und Biodiversitätsdaten mit Python und JupyterLab | Ralf-Uwe Syrbe; Claudia Dworczyk; Alexander Dunkel |
| 16 | Enhancing reusability in Cryospheric Science: Combining small, heterogeneous, and fragmented data sets | Anna Simson, Anil Yildiz, Julia Kowalski |
| 17 | Mapping Research in Earth System Sciences - MaRESS | Marco Otto, Benjamin Schmidt |
| 18 | Improving HPC usage in ESS by FAIR data and compute services | Eberle, Jonas; Frickenhaus, Stephan; Fritzsch, Bernadette; Hachinger, Stephan; Humbert, Angelika; Koldunov, Nikolay; Löwer, Noah; Müller-Pfefferkorn, Ralph; Munke, Johannes; Thiemann, Hannes |
| 19 | Global datasets and scalable tools to support spatial freshwater biodiversity science | Merret Buurman; Afroditi Grigoropoulou; Vanessa Bremerich; Marlene Schürz; Jaime Garcia Marquez; Thomas Tomiczek; Yusdiel Torres Cambas; Kristi Bego; Giuseppe Amatulli; Sami Domisch |
| 20 | Biodiversität visualisieren | Robert Köpke; Dr. Jana Moser |
| 21 | Enhanced and FAIR-aligned tools for ecosystem functionality monitoring | Yana Savytska, Kira Rehfeld |
| 22 | Reconstructing 19th century Danube gauges levels and floodings through Transformer-based Computer Vision | Malte Rehbein, Bettina Haas, Tobias Perschl |
| 23 | PhenoMapping: A participatory visual tool for curation and verification of historical phenological data | Yu Feng |
| 24 | GFBio Data Centers – a guarantee for trustworthy, quality-assured and FAIR data | Tanja Melanie Weibulat and others |
| 25 | Unraveling plankton adaptation in global oceans through the analysis of lipidomes | Weimin Liu |
| 26 | High Field Strength Elements Zr, Nb, Hf as Ocean Tracers: Distributions and Processes in the Equatorial and Southern Pacific Ocean | Tselykh, P., Poehle, S., Kurahashi, E., Achterberg E., Koschinsky, A |
| 27 | Data Quality Insights from GEOROC and GeoReM: Two of the World’s most Impactful Geochemical Databases | Marie Katrine Traun; Leander Kallas |
| 28 | NFDI4Earth Interest Group Long-Term Storage and Archiving (IG LTA) | Peter Valena, Tim Schürmann |
| 29 | Effective Research Data Management for Biodiversity and Environmental Research: A Self-Paced Online Course by NFDI4Biodiversity - Teaching discipline-specific RDM with FAIR OER | Juliane Röder, Daniel Tschink, Ortrun Brand |
| 30 | Introducing LARA | Section ELSA Workgroup LARA |
| 31 | Institutional Set-up of a Research Data Service for Tropical Marine Research | Birte Hemmelskamp-Pfeiffer, Sebastian Swirski, Alexandra Nozik, Finn Opätz, Philipp Gies, Helen George |
| 32 | Data Policies: A Sustainability Checklist | Giuditta Parolini |
| 33 | Research Infrastructure Insight (RI2) | Marc Hanisch |
| 34 | Being an NFDI4Biodiversity Partner 101 – A Friendly Guide for Busy People | Frohne, Katharina; Ebert, Barbara |
| 35 | NFDI4Biodiversity TA1: What happened | Marie Meemken, Thore Engel, Christoph Schomburg, Sarah Fischer, ...., Mark Frenzel, Ortrun Brand, Birgit Gemeinholzer, Aletta Bonn |
| 36 | Task Area 2: Networking with NFDI4Biodiversity – Outputs and Outlook | David Fichtmüller; Anton Güntsch; Kristin Sauerland; Mark Frenzel; Lars Möller; Katja Luther; Marcus Ernst |
| 37 | TA3 - Towards a community-driven Service Portfolio & trustworthy data | NFDI4Biodiversity TA3 |
| 38 | TA5 - FAIR data for better science, decision making and conservation of biodiversity | NFDI4Biodiversity TA5 |
| 39 | Research Data Commons: technical and social evolution of a federated cloud | NFDI4Biodiversity TA4 |
Call for software presentations - Software & Tools Marketplace
We warmly invite you to submit your proposal for participation in the Software & Tools Marketplace. Please include the software title, a short description, and the name of the responsible contact person.
Due to limited capacity and anticipated high interest, we encourage submissions that highlight interactive ready-to-use software solutions, particularly those relevant to Earth System Sciences and/or Biodiversity, with a focus on FAIR and open research data management.
Each marketplace spot includes a basic setup with a desk, chair and power cable. If you require any additional equipment or special arrangements, please let us know.
Final decisions on selected proposals will be announced by the end of July and published on this page.
| Table Number | Presented Software/ Tool | Abstract | Name of contributor(s) |
1 | BEXIS2 | BEXIS2 is a free and open-source software that supports researchers in managing their data throughout the entire data life cycle, from data collection, documentation, processing, and analysis to sharing and publishing research data. We will present the system's features, including the most recent developments. | David Schöne, Sven Thiel, Franziska Zander, Birgitta König-Ries |
| 2 | BIIGLE | BIIGLE is a web-based software for image and video annotation that is well established in the fields of biology and earth science with more than 4,500 registered users. The software is part of the NFDI4Biodiversity service catalog and participated in the second cohort of NFDI4Earth pilot projects. To accompany our poster presentation we will demonstrate and explain BIIGLE's new features for AI-assisted annotation as well as established features. | Martin Zurowietz; Tim W. Nattkemper; Jens Stoye |
| 3 | Der Lebendige Atlas der Natur Deutschlands (LAND) | Biodiversity data can be messy, scattered and hard to come by. As the national research data infrastructure for biodiversity (NFDI4Biodiversity) we set out to make German biodiversity data FAIR and open. One of our products is the "Lebendiger Atlas der Natur Deutschlands (LAND)", a national biodiversity portal that provides species occurrence data in Germany to researchers, conservation authorities and the general public. To do so, we joined forces with the Global Biodiversity Information Facility (GBIF) as well as the national node GBIF.de and created the LAND-portal using the GBIF hosted portal service (https://land.gbif.de/). The portal integrates species occurrence data from different sources, including monitoring initiatives, citizen science, natural history societies, museums and universities. To start with, we mostly stocked the portal with existing datasets from GBIF. Now we focus on mobilizing new datasets. To continue to improve the service and mobilize new datasets to GBIF and LAND, we organize annual community workshops with 50-80 stakeholders from different institutions. In this talk, we present the current state of the portal and its functionalities and discuss opportunities for data holders and researchers to get involved. Furthermore, we’re keen to connect with similar initiatives in other countries. | Thore Engel, Martin Friedrichs-Manthey, Jörg Holetschek, Robert Köpke, Pascal Scherreiks, Anton Güntsch, Birgitta König-Ries, Aletta Bonn |
| 4 | BioMe – A Modular and Scalable Infrastructure for Biodiversity Monitoring Projects | BioMe is a flexible, modular infrastructure designed to support biodiversity monitoring initiatives across a wide range of taxa and ecosystems. Developed with a future-proof, open-source technology stack, BioMe facilitates the entire data lifecycle—from mobile data collection to data curation, integration, visualization, and dissemination—tailored to the needs of scientific and citizen science communities engaged in long-term monitoring and field research. The platform is open and FAIR by design, relying on community-approved standards and open interfaces to ensure interoperability and transparency. BioMe supports flexible, location-independent data collection through mobile applications, enhanced by optional AI-based assistance. A microservice architecture enables integration with project-specific databases as well as shared taxonomic, trait, and spatial databases. Role- and rights-based access control allows for secure data management and customized data views, including aggregated outputs in the form of diagrams, maps, or dashboards. With its modular construction toolbox and customizable components, BioMe can be adapted and deployed in diverse monitoring contexts. It supports strategic stakeholder engagement through intuitive data visualizations and reporting, while enabling integration in on premise and cloud IT environments. This makes BioMe a powerful and scalable solution for implementing interdisciplinary, cross-thematic biodiversity monitoring programs. | Alexander Harpke; Jan Bumberger; Kristina Haase; Sajani Joshi; Thomas Schnicke; Michael Voigt |
| 5 | FAIRenrich - FAIR Enrichment and Curation for ESS and Biodiversity Data | FAIRenrich is an open-source software solution designed to enable the FAIR and scalable annotation of large, multilingual textual datasets in ESS and Biodiversity research. The tool integrates automated and human-curated terminology annotation and leverages advanced natural language processing (NLP) models, such as spaCy, Ollama and GPT4All, as well as the external TIB Terminology Service. FAIRenrich supports the processing of CSV files and real-time annotation via an intuitive web interface. Users can flexibly select terminology sources, validate annotation results, and generate statistics, while a caching mechanism ensures high performance and minimizes external requests. Its modular and configurable architecture allows seamless integration of local and remote AI models. By facilitating transparent and reproducible annotation workflows, FAIRenrich strengthens the FAIR principles. The software enables researchers and data stewards to efficiently manage and semantically enrich complex, multilingual datasets, fostering open science and interdisciplinary collaboration within the fields of Earth and Biodiversity sciences. | Alexander Wolodkin, Jonas Grieb, Claus Weiland |
| 6 | Freshwater data processing: Hydrographr, GeoFRESH, OGC etc. | Freshwater researchers often face computational and technical barriers when working with high-resolution, large-scale geospatial datasets. To address this, we present a suite of interoperable tools designed to streamline freshwater data workflows across desktop, web, and cloud environments. The R package hydrographr offers scalable spatial processing functions tailored to freshwater applications, enabling high-resolution analyses without heavy in-memory computation. Complementing this, the GeoFRESH web platform provides an intuitive, no-code interface for preparing analysis-ready freshwater geospatial data, including annotation of stream segments with environmental and topographical variables, catchment delineation, and lake-basin data extraction. Finally, the AquaINFRA project delivers cloud-based processing via standardized OGC APIs, supporting advanced geospatial workflows through diverse interfaces including scripting, graphical clients, and integration with hydrographr. Together, these tools promote open, FAIR, and accessible workflows for freshwater biodiversity and ecosystem research. | Yusdiel Torres Cambas; Thomas Tomiczek; Merret Buurman; Vanessa Bremerich; Afroditi Grigoropoulou; Marlene Schürz; Jaime Garcia Marquez; Kristi Bego; Giuseppe Amatulli; Sami Domisch |
| 7 | Sensor Management System (SMS) | In Earth System Science, understanding environmental processes and predicting trends rely on robust data collection and interpretation. Time series from sensor systems are key to detecting patterns, identifying changes, and informing decisions. This requires not only quality data but also well-managed metadata to ensure usability and context. To support this, the Helmholtz Centers UFZ, GFZ, FZJ, and KIT are jointly developing the Sensor Management System (SMS)—an open-source platform for FAIR and consistent sensor metadata management. SMS helps researchers and technicians manage sensors, setups, and campaigns via a user-friendly interface, a powerful JSON:API, and support for the OGC SensorML standard. It features Helmholtz AAI authentication, fine-grained access control, a unified metadata catalog, and provenance tracking. It also integrates with B2INST for persistent identifiers and connects with research data infrastructures to expose sensor time series via the OGC SensorThings API. | Nils Brinckmann (GFZ), Ulrich Loup (FZJ), David Schäfer (UFZ), et al. |
| 8 | EOC Geoservice | In this Marketplace session, we would like to show potential users how they can access ARD satellite data (Sentinel-5P, TIMELINE, ENMAP, Sentinel-2 MAJA, etc.) and value-added products (SWIM, WSF, SoulSuite, etc.) from the EOC Geoservice STAC catalog or the OGC Services WMS/WCS for further environmental analysis. | Jonas Müller |
| 9 | Apscale on CloWM | Metabarcoding analysis with the Apscale Pipeline on the CloWM platform | Christoph Schomburg; Linus Franz |
| 10 | NFDI4Earth OneStop4All | Research products from the ESS community are diverse and increasingly difficult to find. In NFDI4Earth, resources are managed within distributed community services hosted by our partners across Germany. There is thus a need for a platform that efficiently organizes access to ESS resources, particularly quality-assured resources. The OneStop4All (https://onestop4all.nfdi4earth.de) is one of NFDI4Earth’s central support services. It serves as a central discovery and access portal for NFDI4Earth resources, providing a unified interface for researchers to find and access various data, tools, and services related to Earth System Sciences. At the plenary software marketplace, we will demonstrate key features, including a guided tour that helps researchers find repositories matching their needs. We will also present our newly released chatbot prototype and invite researchers and service providers to contribute by registering their services or publishing FAIRness and openness showcases. | Tom Niers, Auriol Degbelo, Markus Konkol, Simon Jirka, Ivonne Anders, Sibylle Hassler, Marie Ryan, Christin Henzen |
| 11 | Julia for geospatial data analysis | The amount of geospatial data is increasing at ever larger rates. Therefore, we need tools to efficiently analyse these increasing streams of available data. Spatiotemporal data cubes are becoming ever more abundant for this and are widely used in the Earth Observation community to handle geospatial raster data. JuliaGeo provides a flexible and powerful toolkit to derive insight from large earth observation datasets. In this demonstration we show case the use of the Julia programming language and its geospatial ecosystem for interactively analysing and visualising large scale datasets. Julia is an interactive scientific programming language, designed for HPC applications with primitives for Multi-threaded and Distributed computations built into the language. | Felix Cremer; Fabian Gans |
| 12 | The Bacterial Diversity Database - BacDive | The Bacterial Diversity Database BacDive is the worldwide largest knowledge base of standardized bacterial information. It has been selected as an ELIXIR Core Data Resource as well as a Global Core Biodata Resource. Its mission is to mobilize and make freely available strain-level research data from various sources. Major sources are internal files from culture collections (e.g. CABI, CCUG, CIP, DSMZ, JCM, KCTC) and extensive data manually extracted from species descriptions. Today, BacDive offers 2.6 million data points on 97,334 strains, including 20,060 type strains. Over 1000 data fields cover the topics taxonomy, morphology, physiology, metabolism, origin, biosafety, sequence data, and cultivation. Powerful tools such as the Advanced Search or the Isolation Source Search allow users to easily find strains based on their characteristics, e.g. strains that grow under certain conditions or strains isolated from a specific environment. The RESTful API and a SPARQL endpoint provide expert access to perform large-scale analysis on knowledge provided by BacDive. | Lorenz Christian Reimer; Joaquim Sardà Carbasse; Christian Ebeling; Isabel Schober |
| 13 | Diversity Workbench Training Environment | The Diversity Workbench (DWB) is a suite of relational SQL databases with some supporting (web)tools. It is set up for the management and analysis of biodiversity and geoscience data. The suite is recommended by the DFG and ready to be downloaded as part of the NFDI4Biodiversity service portfolio. The DWB moduls are organized by key domains of digital objects e.g. taxon and term names, collection and description items. The moduls are interconnected. This design facilitates a dynamic integration of web services and external data resources. GWDG and SNSB provide services for science. To establish a SaaS platform for DWB training they organize: • GFBio-portal-mediated SSO and SQL access to clients and databases on demand • data management in user-specific cloud based DWB environments with training data • SQL access to local and cloud-based DWB resources and terminologies • user access to useful webservices • management of local resources, e.g. related to data import and data export | Tanja Melanie Weibulat, Sven Bingert and others |
| 14 | HVR Locator | The growth of metabarcoding studies created opportunities for large-scale biodiversity analysis, yet inconsistent metadata reporting limits cross-study synthesis and adherence to FAIR data principles. A critical gap exists between reported hypervariable region targets and actual genomic coverage achieved by sequenced amplicons. This discrepancy compromises interoperability essential for meta-analyses and database integration. We developed HVR Locator to address this challenge and to enhance data standardization in MiCoDa, our public metabarcoding database hosting over 35,000 manually curated samples. HVR Locator determines hypervariable region coverage from sequence data rather than study metadata. The tool processes SRA accession numbers or direct sequences through automated pipelines for data acquisition, quality control, and coverage analysis. The algorithm calculates overlap statistics between sequence boundaries and predefined hypervariable region coordinates, applying configurable coverage thresholds to generate standardized regional assignments. Optional machine learning components predict primer presence using quality score distributions. Integration of HVR Locator into MiCoDa enables automated quality control for database expansion while maintaining curation standards. The tool enhances FAIR principles by providing objective metadata that describe taxonomic resolution capabilities, enabling users to identify truly comparable datasets. This systematic approach establishes a framework for microbiome database curation and supports reliable synthesis across metabarcoding experiments. | Dr. Jonas Coelho Kasmanas; Felipe Borim Corrêa; Dr. João Pedro Saraiva; Dr. Stephanie Jurburg |
| 15 | NFDI4Earth Label | The NFDI4Earth label provides a lightweight framework to assess and improve the FAIRness of data repositories in Earth System Science, with a focus on interoperability and trustworthiness. It supports the harmonization of a growing ecosystem of digital services by offering specific metrics and actionable recommendations to close identified gaps, enabling researchers to identify trustworthy repositories for sustainable data management. | Robert Brylka; Jonas Grieb; Ronny Gey; Claus Weiland |
| 16 | The Visualization, Analysis and Transformation (VAT) tool | The VAT tool enables the easy visualization, analysis and transformation of spatiotemporal data through an interactive user interface. Over the past year, the tool has been equipped with ML functionality, enabling the sharing and application of pre-trained ML models through use of the ONNX (Open Neural Network Exchange) format. When visiting our marketplace stand, you will receive an introduction to VAT's core functionality as well as the new ML features and other recent developments. | Dominik Brandenstein |
| 17 | STAC extension topo4d for Automatic Generation, Visualization and Management of Time-Dependent Metadata in Topographic Time Series (4D-WORKS pilot) | Time series of 3D geospatial data present unique challenges in metadata management, particularly when observations span hundreds to thousands of epochs. The need for standardized approaches to manage time-dependent metadata has become critical as the demands for sharing data, reproducing analysis and exchanging data across tools increase. We therefore develop an open-source Topographic 4D (topo4d) extension to the established Spatiotemporal Asset Catalog (STAC) along with a supporting toolkit designed to streamline metadata curation workflows for 4D datasets. At the marketplace, we will provide insight how to harmonize, access and integrate metadata from diverse topographic data sources, and its challenges; how to automatically extract and generate standardized metadata files in GeoJSON format from these data; and how to efficiently load and visualize large-scale metadata with a single click. Emphasis will be placed on interactive application for a real-world use case involving multiple 3D acquisitions from diverse sensors and technologies. Attendees have the opportunity to be equipped with the core concepts, practical guidelines, and example usages to streamline their own 4D research data management workflows, and for open discussion on related tools and further use cases, thus advancing reproducibility and collaboration in the Earth science community. | Jiapan Wang; Xiaoyu Huang; Mathilde Letard; Katharina Anders |
| 18 | Aruna | Version 3 of the Aruna Data Orchestration Engine will be showcased on our software marketplace, where users can experience live demonstrations of its features. The platform empowers visitors to interact with real-time orchestration capabilities handling millions/billions of datasets through hands-on feature presentations and interactive demonstrations. | Maria Hansen; Lukas Brehm; Sebastian Beyvers; Jannis Schlegel; Adrian Röth; Alexander Goesmann; Frank Förster |
| 19 | Mining research data from the literature using Unified Corpus Explorer (UCE) | We are currently facing a global-scale biodiversity crisis, with accelerating rates of extinction, habitat degradation, and ecosystem disruption. Notwithstanding, the recent past of many organisms is poorly known, especially when the available information is fragmented and scattered in old texts. Published scientific literature is a valuable source of occurrence data, but it remains underutilized because the data is not yet FAIR: it is hard to find, difficult to access, mostly not interoperable, and only reusable after time-consuming input of human work. That leads many researchers to often neglect that valuable source of data. With UCE (Unified Corpus Explorer), the Specialised Information Service for Biodiversity Research (BIOfid) provides a tool to find, access, and mobilize this kind of data. By annotating elements relevant to biodiversity research, BIOfid aims to establish interoperability and reusability of data from literature. Currently, UCE is still under development, but is expected to go live by the end of the year at the latest. | Gerwin Kasperek; Marius Böyng; Katrin Peikert; Alexander Bock; Alexander Mehler; Thomas Schmitt; Kevin Bönisch; Manuel Schaaf; Mounika Marreddy; Martha Kandziora; Pedro Henrique dos Santos Dias; Thomas Hickler |
| 20 | A FAIR catalog for essential biodiversity variables: the EBV Data Portal | We present the EBV Data Portal, a platform for sharing and visualizing EBV datasets. It contains a geographic cataloging system that supports a novel biodiversity-specific metadata standard called the “EBV Cube Standard”. This standard builds on metadata specifications of the Attribute Convention for Data Discovery (ACDD) and is interoperable with the Ecological Metadata Language (EML) vocabulary. The EBV Cube and Data Portal work together enabling discoverability and sharing of complex biodiversity data of different types, from remote-sensing derived ecosystems data to modelled spatiotemporal species distributions. Furthermore, the infrastructure offers a web-based interface and API resources to publish and explore data. | Christian Langer, Néstor Fernández, Emmanuel Oceguera, Lina M. Estupinan-Suarez, Henrique M. Pereira |
| 21 | https://umwelt.info/ | We, the National Centre for Environmental and Nature Conservation Information, develop the portal umwelt.info which acts as central access point to all of Germany’s knowledge on the environment and nature conservation. We integrate all openly accessible sources from municipalities, to federal states, civil society, economy and sciences into one flexible metadata catalogue. This catalogue at its core will make it easier to find and share all kinds of data and information, like web applications, research data, or editorials. Here, we want to present our approach on how to combine this diverse data ecosystem into one searchable catalogue. We develop an open-source software, where everybody can contribute to the development. To support the open data community, we offer a native API, as well as an emulated CKAN interface. Furthermore, we create editorials and scripts about data availability with a current focus on water-related data sets in Germany. These products aim to help scientists to gain easier access, as well as information on reusability. Our current product can be found at https://umwelt.info and our current development stage is located at https://gitlab.opencode.de/umwelt-info. | Maximilian Berthold; Stefan Krämer; Johannes Vogel |
| 22 | GeoLabel and deadtrees.earth: RDM for crowd-sourced and AI-based Global Tree Mortality Monitoring | High-quality, georeferenced labels are essential for training AI models in Earth and biodiversity sciences, yet their creation remains a major bottleneck. GeoLabel addresses this challenge with a WebGIS-based, browser-accessible tool for collaborative and standardized annotation of geospatial data. It supports large formats (GeoTIFF, Zarr), AI-assisted segmentation, metadata generation, and export to FAIR-compliant geospatial and AI-ready formats. We demonstrate GeoLabel within deadtrees.earth, a crowd-sourced platform that tracks global tree mortality by combining drone and satellite observations (https://deadtrees.earth/). Drone-based segmentations of dead trees serve as training data for spatiotemporal satellite models, while GeoLabel enables continuous improvement of annotations at the drone scale. Beyond annotation, deadtrees.earth provides a comprehensive research data management workflow: automated online generation of drone orthomosaics, data archiving with DOI assignment, and web-based AI segmentation of aerial imagery. Together, these functionalities lower the entry barrier for community-driven data curation, ensure reproducibility, and enable scalable training datasets for Earth observation AI. By presenting GeoLabel alongside the RDM features of deadtrees.earth, we highlight how NFDI4Earth and NFDI4Biodiversity can jointly benefit from interoperable, FAIR, and user-friendly infrastructures that connect citizen science, drone data, and satellite monitoring to address pressing ecological challenges. | Teja Kattenborn, Janusch Vanja-Jehle, Clemens Mosig |
Barcamp sessions
We will offer a Barcamp session to join and discuss topics during the conference. The Barcamp format allows to connect with interested people on a specific topic. Participants agree on the topics at the start of the meeting. The main advantage of this open and non-hierarchical format is: Anyone can ask questions, contribute their knowledge and work towards a specific solution focusing on requirements.
While spontaneous topics are encouraged during the start of the Barcamp session during the conference, you might want to submit topics for discussions ahead of the conference. Be prepared to present them in a 1 min pitch in the session on September 24th.
Submitted Barcamp topics
| Barcamp Topic | Name of contributor(s) |
| Towards a Joint NFDI Academy – RDM Training for Earth and Life Sciences | Juliane Röder |
| Cloud-Optimized data formats in Earth Sciences | Merret Buurman; Vanessa Bremerich; Afroditi Grigoropoulou; Marlene Schürz; Jaime Garcia Marquez; Thomas Tomiczek; Yusdiel Torres Cambas; Kristi Bego; Giuseppe Amatulli; Sami Domisch |
| How can we improve NFDI4Earth's Q&A ecosystem? | Kemeng Liu |
| Visualisierungen als Zugang zur Biodiversität – Eine Anleitung zur gemeinsamen Arbeit mit Karten | Dr. Jana Moser; Robert Köpke |
| Challenges in finding environmental data: how to get to the data you need? | Maximilian Berthold; Stefan Krämer; Johannes Vogel |
| From Curiosity to Query: How to retrieve relevant data from the NFDI4Earth Knowledge Hub using SPARQL. | Jonas Grieb; Alois Wieshuber |
| The Fabric of Collaboration: Weaving Basic Services into the NFDI Service Landscape | Andrè Giesler; Lisa Schwier; Alois Wieshuber; Sandra Zänkert |
| From collecting to connecting: Workflow sketches for interoperability | Stephan Frickenhaus; Claudia Müller |
| Semantics in Science - Help or Pain? | Anette Ganske, Andrea Lammert, Alexander Wolodkin |
| RDM User Support: individual, institutional, national, European | Hela Mehrtens, Judith Engel, Klaus Getzlaff |
| Putting more research contributions on the map: geospatial metadata across journals and data repositories | Daniel Nüst |
| A knowledge graph for research software? Increasing the findability of research software with Wikidata | Ronny Gey, Daniel Mietchen |
Workshops
Rather than offering fixed workshop slots, we will offer ad hoc workshops during the barcamp session. However, if you wish to plan a workshop, please get in contact with jointplenary@lists.nfdi.de.
