From objects to knowledge
Natural history museums are evolving into international centers of open biodiversity knowledge. At the Leibniz Institute for the Analysis of Biodiversity Change (LIB), this transformation is driven by the creation of The Center Biodiversity Data Science — a cross-sectional hub connecting all LIB research and transfer centers.
Vision and mission
The Centre for Biodiversity Data Science will transform the LIB's collections and expertise into a globally accessible knowledge space. By integrating data science, artificial intelligence (AI) and citizen science, the centre combines physical objects with digital knowledge to make biodiversity and its changes understandable and relevant for action.
Strategic goals
- Build a future-oriented, networked collection: Digitize up to 100% of LIB’s holdings, supported by AI, robotics, and FAIR/CARE-compliant data standards.
- Enable impactful biodiversity research: Develop data infrastructures and AI tools to monitor, analyze, and predict biodiversity change.
- Create the LIB Knowledge Space: An open, semantic web-based platform for connecting research data across disciplines and making it accessible to scientists and the public.
Core areas
- Data Mobilization – Digitization, data integration, and metadata management across all LIB collections.
- Biodiversity Data Science – Development of AI models, semantic knowledge graphs, and analytical tools for ecological and genomic data.
- Citizen Science – Inclusive participation in biodiversity research through collaborative data collection, validation, and analysis.
Implementation and governance
- Cross-location collaboration between the LIB locations Bonn and Hamburg, involving all centers of expertise.
- Flat, participatory governance encouraging open discussion, agile development, and joint decision-making.
- Roles and expertise include AI developers, data scientists, digital collection managers, semantic web developers, and strategic researchers.
Effects until 2035
By systematically digitizing, connecting, and interpreting biodiversity data, The Center Biodiversity Data Science will:
- Position LIB as a globally open object and knowledge hub.
- Strengthen LIB’s leadership in biodiversity informatics and data-driven conservation science.
- Foster innovation and social engagement through transparent, participatory research.
Contact person
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Projects
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LEPMON: Recording the biodiversity of moths (Lepidoptera) with AI
Management: Dr. Peter Grobe
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NFDI4Biodiversity
Management: Dr. Peter Grobe
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CaBOL - Caucasus Barcode of Life
Management: Dr. Peter Grobe
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FOGS
Management: Dr. Peter Grobe
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1KITE
Management: Dr. Peter Grobe
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GGBN
Management: Dr. Peter Grobe
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GGBC
Management: Dr. Peter Grobe
Publications
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2025/03
Extracting specimen label data rapidly with a smartphone—a great help for simple digitization in taxonomy and collection management
ZooKeys, 1233
2025/03
An annotated catalog of Annelida types at the Museum of Nature Hamburg, Zoology. Part I: Annelida: Errantia: Aciculata: Eunicida, Myzostomida, Aciculata incertae sedis, and Errantia: Protodriliformia
Evolutionary Systematics, 1, 9
2025/01
FOGS: A SNPSTR Marker Database to Combat Wildlife Trafficking and a Cell Culture Bank for Ex‐Situ Conservation
Molecular Ecology resources
2024/10
The ASV Registry: a place for ASVs to be
Metabarcoding and Metagenomics, 8
2024/09
4 Datenmanagement – 4.3 Management von Vorkommensdaten, Umfang und Herkunft der Datenbestände
2024/05
How dispersal rates depend on the prey capture strategy: A case study of Georgia's spiders
Ecology and Evolution, 5, 14
2023/06
Das FörTax-Datenportal ist online - „Taxonomische Bildungsangebote auf einen Blick“ bundesweit verfügbar
2022/08
Data Flows for Metabarcoding-based Monitoring in the Project Automated Multisensor Stations for Monitoring of Biodiversity
Biodiversity Information Science and Standards, 6
2019/01
SOCCOMAS: a FAIR web content management system that uses knowledge graphs and that is based on semantic programming
2019
2018/12
Using Semantic Programming for Developing a Web Content Management System for Semantic Phenotype Data
2018/05
Entry Life-Cycle with automatic Change-History & Provenance Tracking in collaborative Semantic Web Content Management Systems as implemented in SOCCOMAS
2
2018/05
Using Semantics for morphological Descriptions in Morph•D•Base
2
2017/12
Using taxonomic consistency with semi‐automated data pre‐processing for high quality DNA barcodes
Methods in Ecology and Evolution, 12, 8
2017/08
SOCCOMAS: A Self-Describing and Content-Independent Application for Semantic Ontology-Controlled Web-Content-Management-Systems
1
2017/07
Developing a Module for Generating Formalized Semantic Morphological Descriptions for Morph∙D∙Base
1
2017/07
Semantic Annotations of Text and Images in Morph∙D∙Base
1
2016/09
How to tackle the molecular species inventory for an industrialized nation—lessons from the first phase of the German Barcode of Life initiative GBOL (2012–2015)
Genome, 9, 59
2015/06
Phylogenetic significance of chaetal arrangement and chaetogenesis in Maldanidae (Annelida)
3, 134
2015/05
Lessons from the first phase of the German Barcode of Life initiative (2012-2015)
5, 58
2012/12
Fiat or Bona Fide Boundary—A Matter of Granular Perspective
12, 7
2012/01
Accommodating Ontologies to Biological Reality—Top-Level Categories of Cumulative-Constitutively Organized Material Entities
1, 7
2011/04
Top-Level Categories of Constitutively Organized Material Entities - Suggestions for a Formal Top-Level Ontology
4, 6
2025
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2019
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Employees
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Christoph Erhardt
ztm Biodiversity informatics ScientistPhone: +49 228 9122 248
E-mail: c.erhardt@leibniz-lib.deCristina Therese Garilao
ztm Biodiversity informatics ScientistPhone: +49 40 238317 707
E-mail: c.garilao@leibniz-lib.de/leibniz-lib.de/fileadmin/user_upload/home/Bilder/LIB/Ueber_das_LIB/Mitarbeitende/Bonn/01_20241118_MKB_Portraits_LowRes_GrobePeter_FKurceren_6N0A3028.jpg%3F1739188212)
Dr. Peter Grobe
ztm Biodiversity informatics ScientistPhone: +49 228 9122 342
E-mail: p.grobe@leibniz-lib.de/leibniz-lib.de/fileadmin/user_upload/home/Bilder/LIB/Ueber_das_LIB/Mitarbeitende/Bonn/01_20241118_MKB_Portraits_LowRes_QuastBjoern_FKurceren_6N0A3371.jpg%3F1739271927)
Dr. Björn Quast
ztm Biodiversity informatics ScientistPhone: +49 228 9122 347
E-mail: b.quast@leibniz-lib.deDipl. Biol. Birgit Rach
ztm Biodiversity informatics ScientistPhone: +49 228 9122 422
E-mail: b.rach@leibniz-lib.de
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