NFDI4Microbiota – national research data infrastructure for microbiota research

Microbes – bacteria, archaea, unicellular eukaryotes, and viruses – play an important role in human and environmental health. Growing awareness of this fact has led to a huge increase in microbiological research and applications in a variety of fields. Driven by technological advances that allow high-throughput molecular characterization of microbial species and communities, microbiological research now offers unparalleled opportunities to address current and emerging needs. As well as helping to address global health threats such as antimicrobial resistance and viral pandemics, it also has a key role to play in areas such as agriculture, waste management, water treatment, ecosystems remediation, and the diagnosis, treatment and prevention of various diseases. Reflecting this broad potential, billions of euros have been invested in microbiota research programs worldwide. Though run independently, many of these projects are closely related. However, Germany currently has no infrastructure to connect such projects or even compare their results. Thus, the potential synergy of data and expertise is being squandered. The goal of the NFDI4Microbiota consortium is to serve and connect this broad and heterogeneous research community by elevating the availability and quality of research results through dedicated training, and by facilitating the generation, management, interpretation, sharing, and reuse of microbial data. In doing so, we will also foster interdisciplinary interactions between researchers. NFDI4Microbiota will achieve this by creating a German microbial research network through training and community-building activities, and by creating a cloud-based system that will make the storage, integration and analysis of microbial data, especially omics data, consistent, reproducible, and accessible across all areas of life sciences. In addition to increasing the quality of microbial research in Germany, our training program will support widespread and proper usage of these services. Through this dual emphasis on education and services, NFDI4Microbiota will ensure that microbial research in Germany is synergistic and efficient, and thus excellent. By creating a central resource for German microbial research, NDFDI4Microbiota will establish a connecting hub for all NFDI consortia that work with microbiological data, including GHGA, NFDI4Biodiversity, NFDI4Agri and several others. NFDI4Microbiota will provide non-microbial specialists from these consortia with direct and easy access to the necessary expertise and infrastructure in microbial research in order to facilitate their daily work and enhance their research. The links forged through NFDI4Microbiota will not only increase the synergy between NFDI consortia, but also elevate the overall quality and relevance of microbial research in Germany

D7.4 How to be FAIR with your data. A teaching and training handbook for higher education institutions

This handbook aims to support higher education institutions with the integration of FAIR-related content in their curricula and teaching. It was written and edited by a group of about 40 collaborators in a series of six book sprint events that took place between 1 and 10 June 2021. The document provides practical material, such as competence profiles, learning outcomes and lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021

Bringing discipline specificity to a generic research data management workshop concept

Research funders have increasing requirements for research data management (RDM). Given that research data (RD) is generated in a discipline-specific context, RDM must follow suit. General-purpose RD centres have thus turned to specialist institutions or libraries such as ZB MED to bring discipline-specific content to their general training offer. As a result, we developed a training workshop on RDM in (bio-)medicine for researchers to be conducted jointly with RD centres from German universities with a medical faculty. RD centres cover general aspects of RDM and introduce their local infrastructure and services; ZB MED complements this with (bio-)medicine-specific aspects of RDM, introduces ZB MED services and presents results from the national research data infrastructure (NFDI) consortia we are part of. In this context, open educational resources (OERs) were created to support researchers in handling their data. The details of the workshop outlined in the article and the free licensing enable transferability to other disciplines and NFDI consortia

NFDI4Health Online Training Workshop on Research Data Management in (Bio-)Medicine

Day 1) Introduction to Research data management (RDM)-Fundamental concepts. Day 2)A step forward to making data FAIR with NFDI4Healt

Research Data Management for (bio-) medical Sciences - Workshop

Seminar series on the basics of data management organized by the Berlin Institute of Health at Charité (BIH) |QUEST Center, Humboldt-University of Berlin, Free University of Berlin, Neurocure Cluster of Excellence, Charité medical university Berlin and ZB MED - Information Center for Life Sciences

Mollusc species from the Pontocaspian region – an expert opinion list

Defining and recording the loss of species diversity is a daunting task, especially if identities of species under threat are not fully resolved. An example is the Pontocaspian biota. The mostly endemic invertebrate faunas that evolved in the Black Sea – Caspian Sea – Aral Sea region and live under variable salinity conditions are undergoing strong change, yet within several groups species boundaries are not well established. Collection efforts in the past decade have failed to produce living material of various species groups whose taxonomic status is unclear. This lack of data precludes an integrated taxonomic assessment to clarify species identities and estimate species richness of Pontocaspian biota combining morphological, ecological, genetic, and distribution data. In this paper, we present an expert-working list of Pontocaspian and invasive mollusc species associated to Pontocaspian habitats. This list is based on published and unpublished data on morphology, ecology, anatomy, and molecular biology. It allows us to (1) document Pontocaspian mollusc species, (2) make species richness estimates, and (3) identify and discuss taxonomic uncertainties. The endemic Pontocaspian mollusc species richness is estimated between 55 and 99 species, but there are several groups that may harbour cryptic species. Even though the conservation status of most of the species is not assessed or data deficient, our observations point to deterioration for many of the Pontocaspian species