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Approaches to rapidly collecting global biodiversity data are increasingly important, but biodiversity blind spots persist. We organized a three-day Datathon event to improve the openness of local biodiversity data and facilitate data reuse by local researchers. The first Datathon, organized among microbial ecologists in Uruguay and Argentina assembled the largest microbiome dataset in the region to date and formed collaborative consortia for microbiome data synthesis.

Biodiversity is more than just the diversity of living species. It includes genetic and phenotypic diversity of organisms, functional diversity, interactions and the diversity of populations and whole ecosystems. The recent Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) report confirmed that our planet experiences a rapid loss of biodiversity with dramatic consequences for mankind. Answers to scientifically and societal relevant questions can only be found based on the availability of data integrated from multiple sources and building on different knowledge domains in science and society. The FAIR data principles provide a framework towards such integration. To foster access to interoperable data, NFDI4BioDiversity focuses on the following six objectives: 1) Promoting research data management as an integral part of biodiversity research, 2) Enabling FAIRness of data, 3) Consolidating FAIRness with quality, 4) Embedding NFDI4BioDiversity into the (inter-)national landscape, 5) Addressing NFDI-wide cross-cutting topics and 6) Promoting collaborative governance, viability and sustainability of data infrastructure services and science. These objectives are implemented by the NFDI4BioDiversity work programme and its five task areas: Task Area 1 - Community engagement (2involve): This task area will integrate across different knowledge holders and take care of research data management requests related to biodiversity data. A large part of all species data is collected by volunteers in natural history societies, NGOs, museums and citizen science projects as well as collected by different authorities This task area includes 23 use cases with community-driven topics and cross-domain user groups. Task Area 2 - National and international networking (2connect): This task area ensures that any cross-domain activities and developments of NFDI4BioDiversity are coordinated and in-line with the overall development of the NFDI as well as inte

Im vorliegenden Beitrag identifizieren wir Möglichkeiten und Grenzen einer Aufarbeitung bisher noch ungenutzter Datenquellen für raum-zeitliche Biodiversitätsanalysen in Deutschland. Im Rahmen des Syntheseprojekts sMon (https://www.idiv.de/smon) des Deutschen Zentrums für integrative Biodiversitätsforschung (iDiv) Halle-Jena-Leipzig erprobt eine Arbeitsgemeinschaft aus Bundes- und Landesbehörden gemeinsam mit Fachgesellschaften, Verbänden und wissenschaftlichen Einrichtungen Methoden, wie heterogene Daten der letzten Jahrzehnte für retrospektive Trendanalysen genutzt werden können. Darauf aufbauend schlagen wir gangbare Wege zur Zukunft des deutschen Biodiversitätsmonitorings vor und illustrieren, wie Daten aus der Vergangenheit helfen können, Monitoring künftig zu gestalten. In this article, we identify possibilities and limits of processing as yet unused data sources for spatio-temporal biodiversity trend analyses inGermany. The sMon synthesis project (https://www.idiv.de/smon) of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzigis a joint working group of federal and state authorities cooperating with natural history societies, nature protection organisations and scientific institutions. In this group, we develop and evaluate methods for using heterogeneous data for retrospective trend analyses over the last decades. Building on this, we propose viable approaches for the future of German biodiversity monitoring and illustrate how data from the past can help to shape monitoring in the future.

Despite conservation commitments, most countries still lack large-scale biodiversity monitoring programs to track progress toward agreed targets. Monitoring program design is frequently approached from a top-down, data-centric perspective that ignores the socio-cultural context of data collection. A rich landscape of people and organizations, with a diversity of motivations and expertise, independently engages in biodiversity monitoring. This diversity often leads to complementarity in activities across places, time periods, and taxa. In this Perspective, we propose a framework for aligning different efforts to realize large-scale biodiversity monitoring through a networked design of stakeholders, data, and biodiversity schemes. We emphasize the value of integrating independent biodiversity observations in conjunction with a backbone of structured core monitoring, thereby fostering broad ownership and resilience due to a strong partnership of science, society, policy, and individuals. Furthermore, we identify stakeholder-specific barriers and incentives to foster joint collaboration toward effective large-scale biodiversity monitoring.

Biodiversity is more than just the diversity of living species. It includes genetic and phenotypic diversity of organisms, functional diversity, interactions and the diversity of populations and whole ecosystems. The recent Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) report confirmed that our planet experiences a rapid loss of biodiversity with dramatic consequences for mankind. Answers to scientifically and societal relevant questions can only be found based on the availability of data integrated from multiple sources and building on different knowledge domains in science and society. The FAIR data principles provide a framework towards such integration. To foster access to interoperable data, NFDI4BioDiversity focuses on the following six objectives: 1) Promoting research data management as an integral part of biodiversity research, 2) Enabling FAIRness of data, 3) Consolidating FAIRness with quality, 4) Embedding NFDI4BioDiversity into the (inter-)national landscape, 5) Addressing NFDI-wide cross-cutting topics and 6) Promoting collaborative governance, viability and sustainability of data infrastructure services and science. These objectives are implemented by the NFDI4BioDiversity work programme and its five task areas: Task Area 1 - Community engagement (2involve): This task area will integrate across different knowledge holders and take care of research data management requests related to biodiversity data. A large part of all species data is collected by volunteers in natural history societies, NGOs, museums and citizen science projects as well as collected by different authorities This task area includes 23 use cases with community-driven topics and cross-domain user groups. Task Area 2 - National and international networking (2connect): This task area ensures that any cross-domain activities and developments of NFDI4BioDiversity are coordinated and in-line with the overall development of the NFDI as well as inte