With the ever increasing realisation that a majority of scientific research data that is published is not “FAIR” (Findable, Accessible, Interoperable, Reusable) there has been a strong push in recent years to implement digital tools within the labs (namely Electronic Lab Notebooks) to combat this. However, implementing an Electronic Lab Notebook (ELN) is no mean feat, it is a highly complex...
Taking the step from running experiments in the wet lab, and generating samples, to analyzing your own 16S Amplicon sequencing data can be quite daunting. Thus, in this workshop, we aim to introduce you to Qiita, a microbial study management platform used to manage and compute studies with 16S microbiome data. This framework establishes an easily accessible way for non-computational scientists...
Standardised and well annotated metadata are a cornerstone of the FAIR data principles. In this workshop, we will begin with the metadata standards developed and maintained by the Genomic Standards Consortium (GSC), which provides checklists and extensions for a variety of environments and biomes. We will then zoom in on the minimal metadata standards for environmental and biological context...
A consensus has been reached that research data must be FAIR. Most researchers understand it as making their data findable, accessible, interoperable, and reusable during or after the publication process. However, by this stage, it often turns out that some key information about experiments is missing or the experimental design is irreparably incomplete or flawed, questioning the validity of...
Discover how Electronic Lab Notebooks (ELNs) enhance reproducibility, collaboration, and FAIR compliance in microbiota workflows. We will demonstrate best practices in eLabFTW - a free and open source favorite in the field - by covering its interface, metadata features, and integrations, then guide you through a hands-on exercise to create and manage a sample project. By the end, you’ll be...
Modern microbiome research, as addressed by NFDI4Microbiota, depends on scalable and interoperable infrastructures. Aruna v3 introduces a federation-first approach to research data management, eliminating central coordination while preserving institutional autonomy. Built on peer-to-peer technologies, Aruna ensures secure and efficient metadata replication, data locality-aware compute...
This workshop covers fundamental research data management (RDM) practices, including drafting a Data Management Plan (DMP) and working with common metadata standards. Through brief interactive examples, participants will learn how to structure a DMP and tag datasets using existing schemas.
Modern microbiome research, as addressed by NFDI4Microbiota, depends on scalable and interoperable infrastructures. Aruna v3 introduces a federation-first approach to research data management, eliminating central coordination while preserving institutional autonomy. Built on peer-to-peer technologies, Aruna ensures secure and efficient metadata replication, data locality-aware compute...
Virus research depends on accurate sequence and metadata, but is often hampered by errors in user-submitted data and a lack of standardized metadata practices. Viral genomes are small and highly variable and current challenges in their organization are compounded by inconsistencies in related metadata (e.g., taxonomy, segment nomenclature, lifecycle definitions). VirJenDB (VJDB; virjendb.org)...
We invite you to a hands-on workshop on the CAMI Benchmarking Portal (https://cami-challenge.org, Meyer et al., NAR 2025), an online platform that automates comprehensive evaluation and ranking of software for metagenomic analyses. The portal builds upon the metrics, datasets, and best practices established by the community-driven initiative for Critical Assessment of Metagenome Interpretation...
