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Data Standards & Repositories Training | Qiita, MGnify & FAIR Microbiome Data

NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Microbiome, Metagenomics & Microbial Systems Biology >> Data Standards & Repositories Training | Qiita, MGnify & FAIR Microbiome Data

Data Standards & Repositories Qiita MGnify & FAIR — Hands-on

Learn how to make microbiome and metagenomics projects findable, accessible, interoperable and reusable. You will work conceptually with MIxS style metadata, repository data models and validation thinking so that your studies are ready for submission to Qiita, MGnify and related archives using reusable templates and documentation patterns.

Data Standards and Repositories Qiita MGnify and FAIR
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Session 1
Fee: Rs 8800
Microbiome Metadata & Standards Foundations
  • FAIR principles in the microbiome context
  • findable and accessible data thinking interoperability and reuse mindset planning for reuse from day zero
  • Microbiome metadata standards overview
  • sample, sequencing and environment fields mandatory vs optional information ideas controlled terms and ontologies mindset
  • Project level documentation and identifiers thinking
  • study titles, abstracts and keywords persistent identifiers conceptually versioning and change tracking mindset
Session 2
Fee: Rs 11800
Repositories: Qiita, MGnify & Companion Portals
  • Repository roles in the microbiome ecosystem
  • archival vs analysis oriented portals raw reads vs processed profiles links to primary sequence archives
  • Conceptual data models in Qiita and MGnify style portals
  • studies, samples and runs thinking analysis objects and pipelines view public vs controlled access notions
  • Matching project types to repository expectations
  • amplicon vs shotgun projects clinical vs environmental cohorts longitudinal vs cross sectional layouts
Session 3
Fee: Rs 14800
Submission Workflows & Validation Thinking
  • Structuring metadata and manifests for submission
  • sample and run tables conceptually file naming and path conventions linking IDs across tables and files
  • Thinking in terms of templates, checklists and audits
  • spreadsheet templates mindset internal completeness checklists simple pre submission audit ideas
  • Validation concepts and error handling strategies
  • common field and type mismatches missing and inconsistent values thinking iterative refinement of submission packages
Session 4
Fee: Rs 18800
Mini Capstone: FAIR-Compliant Submission Package
  • End to end packaging of a microbiome study for a repository
  • Theory plus guided practical style walkthrough
  • Project documentation and methods text concepts
  • readme and overview text patterns succinct methods and pipeline descriptions referencing code and environments at a high level
  • Deliverables: metadata sheet, manifest & submission checklist draft
  • tidy sample and run metadata table file manifest with descriptions reusable FAIR readiness checklist outline


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