Data Standards & Repositories: MetaboLights & mzTab-M — Hands-on

Learn how to make your metabolomics and lipidomics studies truly FAIR using community data standards and repositories. You will work with mzML and mzTab-M style formats, structure metadata using ISA-Tab concepts, prepare submissions to MetaboLights, and build reusable data packages suitable for long-term sharing and reanalysis.

Data Standards & Repositories: MetaboLights & mzTab-M

Help Desk · WhatsApp

Session Index

Session 1 — FAIR Principles & Metabolomics Data Models Session 2 — Formats: mzML, mzTab-M & ISA-Tab Concepts Session 3 — MetaboLights & Public Repositories Session 4 — Submission Workflows, Reuse & Compliance

Session 1

Fee: Rs 8800

FAIR Principles & Metabolomics Data Models

FAIR data thinking for metabolomics and lipidomics

findable and accessible datasets interoperable formats and vocabularies reusable study packages

High level data models in MS based metabolomics

raw spectra, peak lists and feature tables sample metadata and experimental factors annotation and identification layers

Why community standards and repositories matter

supporting peer review and reanalysis enabling benchmarking and method comparison meeting journal and funder requirements

Session 2

Fee: Rs 11800

Formats: mzML, mzTab-M & ISA-Tab Concepts

Vendor formats and open standard exchange formats

from proprietary raw to mzML centroided versus profile data checksum and integrity considerations

mzTab-M style tables for metabolomics and lipidomics

sections for metadata and quant tables capturing identifications and quant values linking to spectra and small molecules

ISA-Tab style thinking for studies, assays and samples

Investigation, Study and Assay structure sample characteristic and factor fields using controlled vocabularies where possible

Session 3

Fee: Rs 14800

MetaboLights & Public Repositories

Landscape of metabolomics repositories

MetaboLights positioning and scope Metabolomics Workbench style resources GNPS and spectral library integration

MetaboLights submission structure and key fields

study description and design metadata sample, assay and protocol information linking raw, processed and annotation files

Browsing, filtering and reusing public datasets

finding datasets by organism or condition downloading files in standard formats taking notes for benchmarking and teaching

Session 4

Fee: Rs 18800

Submission Workflows, Reuse & Compliance

End to end MetaboLights style submission workflow

organising project folders and filenames filling key metadata templates common issues and validation checks

Preparing datasets for long term reuse and citation

clear README and data dictionaries stable identifiers and accession numbers licensing and citation instructions

Checklists for FAIR, journal and funder compliance

minimum information style requirements internal review before submission reusing your own standard templates

PDF

Data Standards & Repositories: MetaboLights & mzTab-M Training | FAIR Metabolomics Data & Submissions

Data Standards & Repositories: MetaboLights & mzTab-M — Hands-on