Data Standards, Repositories & FAIR Practices for Microbiome Studies — Hands-on

Learn how to turn microbiome projects into FAIR, repository-ready datasets. This module covers data and metadata standards, MIxS-style checklists, major repositories for amplicon and shotgun studies, and practical steps to design submission-ready packages with clear provenance, documentation and re-use potential.

Data Standards, Repositories & FAIR Practices for Microbiome Studies

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Session Index

Session 1 — Standards, Checklists & Metadata Foundations Session 2 — Public Repositories & Submission Workflows Session 3 — FAIR Data Management, Provenance & Reuse Session 4 — Mini Capstone: Repository-Ready Microbiome Package

Session 1

Fee: Rs 8800

Standards, Checklists & Metadata Foundations

Why standards and metadata matter in microbiome work

reproducibility and comparability long term reuse and meta analysis journals, funders and repository expectations

Core microbiome standards and checklists (concept level)

sample and sequencing minimal information ideas amplicon vs shotgun metadata requirements environment, host and technical fields overview

Metadata templates, controlled terms and codebooks

spreadsheet templates for samples and runs controlled vocabularies and consistent coding data dictionaries and readme files

Session 2

Fee: Rs 11800

Public Repositories & Submission Workflows

Repository landscape for microbiome data

sequence archives for amplicon and shotgun reads analysis oriented resources (concepts only) when to choose which repository

Preparing files for submission

FASTQ organisation and naming conventions sample sheets, run tables and manifests project, sample and experiment identifiers overview

Submission portals, releases and accession tracking

interactive vs scripted submission concepts embargo, release and update strategies storing accession IDs for papers and reports

Session 3

Fee: Rs 14800

FAIR Data Management, Provenance & Reuse

FAIR principles in microbiome projects

findable via identifiers and searchable metadata accessible under clear conditions interoperable and reusable in downstream work

Project structure, identifiers and versions

organising raw, intermediate and final folders stable IDs for samples and subjects versioning of code, configs and outputs (concepts)

Capturing provenance and workflow details

logs for tools, parameters and versions workflow files and container images (idea level) linking results back to raw data and methods text

Session 4

Fee: Rs 18800

Mini Capstone: Repository-Ready Microbiome Package

Designing a FAIR data package for one study

guided theory plus practical

Building a submission bundle

organised FASTQ and metadata sheets readme, methods summary and code pointers choosing a target repository and accession plan

Deliverables: zipped submission folder and FAIR summary

folder structure plus example files metadata template and codebook short FAIR and reuse statement for papers or reports

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Data Standards, Repositories & FAIR Practices for Microbiome Studies Training | FAIR, Metadata & Submissions

Data Standards, Repositories & FAIR Practices for Microbiome Studies — Hands-on