1. GFBio is the authoritative, national contact point for issues concerning the management and standardisation of biological and environmental research data during the entire data life cycle (from acquisition to archiving and data publication).
2. GFBio e.V. generates data management plans, or supports the research community in creating and implementing them.
3. GFBio mediates expertises and services between the GFBio data centers and the scientific community in the following areas:
   1. Acquisition, Quality Control and Standardization: GFBio provides access to tools, standards and working platforms. These can be used during data creation, are suitable for preliminary data management and fully supported by the GFBio archiving centers
   2. Archiving and Publication: GFBio provides the central national contact point for submission of biological data and mediates data archiving in dedicated data centers to ensure sustainable, long-term preservation and publication of data.
   3. Access: GFBio provides an integrated open access data portal for data, managed by the GFBio data centers, and all its services.
   4. Analysis and Interpretation: GFBio mediates services for data analysis and visualization. This is based on the data managed and provided by the GFBio Data Centers.
4. Education and Training: GFBio provides training materials. It organizes and supports events for the education and training of scientists on all facets of research data management.

GFBio is the central contact point for research data management for national and international initiatives.

GFBio e.V. was established in 2016 by the project consortium of the same name, which had been driving forward the development of a comprehensive portfolio of services for biodiversity research in Germany since 2013 (GFBio – German Association for the Curation of Biological Data, DFG project number 229241684). The newly founded association submitted its own funding application, which expanded the work programme of the GFBio collaborative project to include activities aimed at ensuring the long-term sustainability of the resources and services developed during the project.

Outputs of the "German Federation for the Curation of Biological Data" 2014-2021

2021

Astor, T., Weber, J., Kostadinov, I., Glöckner, F. O. & Nieschulze, J. und das GFBio Team (2021). Potential für ein starkes Netzwerk zwischen GFBio und FDM-Beratenden an Universitäten und Forschungsinstituten. Bausteine Forschungsdatenmanagement, Nr. 1 (März). German: 22-31.  https://doi.org/10.17192/bfdm.2021.1.8311

Hassenrück, C., Poprick, T., Helfer, V., Molari, M.,Meyer, R. & Kostadinov, I. 2021. FAIR enough? A perspective on the status of nucleotide sequence data and metadata on public archives. Pre-print. bioRxiv 2021.09.23.461561; doi:  https://doi.org/10.1101/2021.09.23.461561

Löffler, F., Wesp, V., König-Ries, B., & Klan, F. (2021). Dataset search in biodiversity research: Do metadata in data repositories reflect scholarly information needs?. PloS one, 16(3), e0246099.  https://doi.org/10.1371/journal.pone.0246099

Löffler, F., Schuldt, A., König-Ries, B., Bruelheide, H., & Klan, F. (2021). A Test Collection for Dataset Retrieval in Biodiversity Research. Research Ideas and Outcomes, 7, e67887.  https://doi.org/10.3897/rio.7.e67887

Triebel, D., Grunz, A., Seifert, S., Link, A. & Rambold, G., 2021. DiversityNaviKey, a Progressive Web Application for interactive diagnosis and identification. In: Anonymous (Hrsg.), INFORMATIK 2021. Gesellschaft für Informatik, Bonn. (S. 517-538). DOI: 10.18420/informatik2021-040. https://dl.gi.de/handle/20.500.12116/37705

2020

Mau, Franziska; Timmermann, Britta; Astor, Tina, (2020). GFBio Model Data Management Plan (DMP), GRO.data, V1 https://doi.org/10.25625/W3YEEQ

Astor, T, Nieschulze, J (2020). Das kleine Forschungsdaten-ABC. Nachrichten der Gesellschaft für Ökologie, 50. Jahrgang, Heft 1, S. 7-9. https://www.gfoe.org/sites/default/files/nachrichtenheft_2020_1.pdf

Harjes, J., Link, A., Weibulat, T., Triebel, D. & Rambold, G. (2020). FAIR digital objects in environmental and life sciences should comprise workflow operation design data and method information for repeatability of study setups and reproducibility of results, Database, 2020 (Article ID baaa059), 1–20. doi.org/10.1093/database/baaa059

Helbing, F, Nieschulze, J, Kurzawe, D, Astor, T. (2020). GFBio: Schnittstelle zwischen institutionellem und disziplinärem Forschungsdatenmanagement im Bereich Biodiversitätsforschung, Ökologie und Umweltwissenschaften (Vortrag). In: Gerhards, L., Lemaire, M., Kellendonk, S. (2020). Forschung + Datenmanagement= Forschungs-datenmanagement – Wann geht die Gleichung auf? Bericht zur Abschlusstagung des PODMAN-Projektes (Universität Trier eSciences Working Papers, Nr. 04), Trier2020. Erschienen im OPUS - Online-Publikations-Server der Universität Trier. https://doi.org/10.25353/ubtr-xxxx-4728-6420

Löffler, F., Abdelmageed, N., Babalou, S., Kaur, P., & König-Ries, B. (2020, May). Tag Me If You Can! Semantic Annotation of Biodiversity Metadata with the QEMP Corpus and the BiodivTagger. In Proceedings of the 12th Language Resources and Evaluation Conference (pp. 4557-4564).

2019

Gemeinholzer B, Nieschulze J, Tauch A & Goesmann A (2019). Big Data in der Biologie: kein Problem mehr! Biologie in unserer Zeit, 49(1), 58-67.  doi.org/10.1002/biuz.201910668

Grobe, P., Gleisberg, M., Klasen, B., Monje, J. C., Penzlin, A., Weibulat, T. & Triebel, D. (2019). Long-Term Reusability of Biodiversity and Collection Data using a National Federated Data Infrastructure. Biodiversity Information Science and Standards 3. e37414.  https://doi.org/10.3897/biss.3.37414

Rambold G, Yilmaz P, Harjes J, Klaster S, Sanz V, Link A, Glöckner FO & Triebel D (2019). Meta-omics data and collection objects (MOD-CO): A conceptual schema and data model for processing sample data in meta-omics research. Database 2019 (baz002), 1–13. doi.org/10.1093/database/baz002

2018

GFBio Team (2018). The National Research Data Infrastructure (NFDI) - a Cornerstone for Biological and Biodiversity research. Position paper by the German Federation for Biological Data (GFBio). doi.org/10.12761/sgn.2019.gfbio01

Beilschmidt C, Drönner J, Fernández N, Langer C, Mattig M & Seeger B (2018). Towards an EBV Analyzer based on VAT. In: Gaikad J, König-Ries B & Recknagel F (eds). Proceedings 10th International Conference on Ecological Informatics: 182. Link to PDF

Güntsch A, Müller A, Plitzner P, Henning T, Kilian N, Fichtmüller D, Gleisberg M, Karam N, Müller-Birn C & Berendsohn W (2018). The EDIT Platform for Cybertaxonomy - an integrated software environment for biodiversity research data management. – In: Gaikad J, König-Ries B & Recknagel F (eds). Proceedings 10th International Conference on Ecological Informatics: 103–104. Link to PDF

Harjes J, Triebel D, Weibulat T, Link A & Rambold G (2018). Managing and publishing fungal community barcoding data by use of the process-oriented schema MOD-CO and a GFBio data publication pipeline. – In: Gaikad J, König-Ries B & Recknagel F (eds). Proceedings 10th International Conference on Ecological Informatics: 108–109. Link to PDF

Helbing F, Astor T & Nieschulze J (2018). Diverse Users, Varying Skills, Tailored Support - The GFBio Training Approach. Göttingen-CODATA RDA Symposium 2018. Link to PDF

Triebel D, Reichert W, Bosert S, Feulner M, Osieko Okach D, Slimani A & Rambold G (2018). A generic workflow for effective sampling of environmental vouchers with UUID assignment and image processing. Database 2018 (bax096), 1-10. doi.org/10.1093/database/bax096

Weiss M, Weibulat T, Seifert S, Monje JC, Ruff M, Neubacher D, Reichert W & Triebel D (2018). A flexible Diversity Workbench tool to publish biodiversity data from SQL database networks through platforms like GFBio. – In: Gaikad J, König-Ries B & Recknagel F (eds). Proceedings 10th International Conference on Ecological Informatics: 106–107. Link to PDF

2017

Beilschmidt C, Fober T, Mattig M & Seeger B (2017). A Linear-Time Algorithm for the Aggregation and Visualization of Big Spatial Point Data. SIGSPATIAL/GIS 2017: 73:1-73:4. doi.acm.org/10.1145/3139958.3140037

Beilschmidt C, Drönner J, Mattig M, Schmidt M, Authmann C, Niamir A, Hickler T & Seeger B (2017). VAT: A Scientific Toolbox for Interactive Geodata Exploration. Datenbank-Spektrum 17(3): 233-243. doi.org/10.1007/s13222-017-0266-5

Beilschmidt C, Fober T, Mattig M & Seeger B (2017). Quality Measures for Visual Point Clustering in Geospatial Mapping. W2GIS 2017: 153-168. doi.org/10.1007/978-3-319-55998-8_10

Beilschmidt C, Drönner J, Mattig M & Seeger B (2017). VAT: A System for Data-Driven Biodiversity Research. EDBT 2017: 546-549. doi.org/10.5441/002/edbt.2017.66

Beilschmidt C, Drönner J, Mattig M, Schmidt M, Authmann C, Niamir A, Hickler T & Seeger B (2017). Interactive Data Exploration for Geoscience. BTW Workshops 2017: 117-126. dl.gi.de/20.500.12116/903

Fichtmueller D, Gleisberg M, Karam N, Müller-Birn C & Güntsch A (2017). Terminologies as a neglected part of research data: Making supplementary research data available through the GFBio Terminology Service, In: Proceedings of the 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017), October 2017, Vienna, Austria. Link to PDF

König-Ries B, Triebel D, Huber R, Glöckler F, Güntsch A, Felden J, Löffler F & Hoffmann J (2017). Setting up an Interdisciplinary Data Infrastructure: Why Cooperation between Domain Experts and Computer Scientists Matters - An Experience Report from the GFBio Project. Biodiversity Information Science and Standards 1: e20198. doi.org/10.3897/tdwgproceedings.1.20198 (Conference abstract)

Löffler F, Pfaff C-T, Karam N, Fichtmüller D & Klan F (2017). What do Biodiversity Scholars Search for? Identifying High-Level Entities for Biological Metadata. Proceedings of the 2nd International Workshop on Semantics for Biodiversity co-located with 16th International Semantic Web Conference (ISWC 2017), October 2017, Vienna, Austria. Link to PDF

Löffler F, Opasjumruskit K, Karam N, Fichtmüller D, Schindler U, Klan F, Müller-Birn C & Diepenbroek M (2017). Honey Bee Versus Apis Mellifera: A Semantic Search for Biological Data. Blomqvist E, Hose K, Paulheim H, Ławrynowicz A, Ciravegna F & Hartig O (eds) The Semantic Web: ESWC 2017 Satellite Events. ESWC 2017. Lecture Notes in Computer Science, vol 10577. Springer doi:10.1007/978-3-319-70407-4_19

2016

Glöckner FO & Tauch A (2016). de.NBI und GFBio - Bioinformatische Infrastrukturen zum Management und zur Analyse großer biologischer Datenmengen in den Lebenswissenschaften. Labor&More 02/2016. Link to article

Karam N, Müller-Birn C, Gleisberg M, Fichtmüller D, Tolksdorf R, & Güntsch A (2016). A Terminology Service Supporting Semantic Annotation, Integration, Discovery and Analysis of Interdisciplinary Research Data. Datenbank-Spektrum 16(3): 195-205. doi.org/10.1007/s13222-016-0231-8

Löffler F & Klan F (2016). Does Term Expansion Matter for the Retrieval of Biodiversity Data? Joint Proceedings of the Posters and Demos Track of the 12th International Conference on Semantic Systems. SEMANTiCS2016 and the 1st International Workshop on Semantic Change & Evolving Semantics (SuCCESS'16), co-located with the 12th International Conference on Semantic Systems (SEMANTiCS 2016). Link to PDF, Link to publication website with supplementary material

2015

Authmann C, Beilschmidt C, Drönner J, Mattig M & Seeger B (2015). VAT: A System for Visualizing, Analyzing and Transforming Spatial Data in Science. Datenbank-Spektrum 15(3): 175-184. doi:10.1007/s13222-015-0197-y

Authmann C, Beilschmidt C, Drönner J, Mattig M & Seeger B (2015). Rethinking Spatial Processing in Data-Intensive Science. BTW Workshops 2015: 161-170. dl.gi.de/20.500.12116/2380

Diepenbroek M (2015). Orientierung im Datenmeer – Infrastruktur für Umwelt- und Ökosystemdaten. Editorial BIOspektrum 21(5): 467. doi.org/10.1007/s12268-015-0601-z, Link to PDF

2014

Authmann C, Beilschmidt C, Drönner J, Mattig M & Seeger B (2014). Analytical Workflows for Large Data. TDWG 2014 Symposium: Biodiversity Informatics. Link to conference abstract

Diepenbroek M, Glöckner F, Grobe P, Güntsch A, Huber R, König-Ries B, Kostadinov I, Nieschulze J, Seeger B, Tolksdorf R, & Triebel D (2014). Towards an Integrated Biodiversity and Ecological Research Data Management and Archiving Platform: The German Federation for the Curation of Biological Data (GFBio). Plödereder E, Grunske L, Schneider E & Ull D (eds): Informatik 2014 – Big Data Komplexität meistern. GI-Edition: Lecture Notes in Informatics (LNI) – Proceedings 232: 1711-1724. Köllen Verlag, Bonn. Link to PDF

Löffler F, Sateli B, Witte R & König-Ries B (2014): Towards Semantic Recommendation of Biodiversity Datasets based on Linked Open Data. Specht G, Gamper H & Klan F (eds.): Proceedings of the 26th GI Workshop on Foundations of Databases (Grundlagen von Datenbanken), 21.10.2014 - 24.10.2014, Bozen, Italy. Link to PDF