The National Expert Center for Translational Lipidomics

NExTLi

Data & FAIR

NExTLi focuses on interpretable lipid biology. That requires data that stays usable: with QC evidence, annotation confidence, and metadata that survives beyond a single paper.

FAIR is not a checkbox at the end. Data processing runs within the institutional compute and storage environment of the ACDC, with SURF services for storage and long-term preservation, so that data remain interpretable and reusable well beyond a single project.

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Lipidomics

What “FAIR” means here

  • QC evidence and method context, not just files
  • Annotation confidence metadata alongside results
  • Structured metadata following the ISA framework and Lipidomics Standards Initiative recommendations
  • Packaging suitable for repository deposition (e.g. MetaboLights)

Core deliverables

Deliverables are workflow-dependent, but the default is: results, QC, context, and provenance.

  • Analysis-ready tables with identifiers and annotation confidence metadata
  • QC summaries (batch structure, controls, and key checks)
  • Method and processing documentation
  • Statistical results and visualizations

What we capture early

Most “FAIR problems” are created before measurement. Metadata are therefore captured during project intake, so that experiments are FAIR-by-design from the start.

  • Study design context (comparisons, covariates, constraints, intended outputs)
  • Sample description and handling (including low-input considerations)
  • Workflow choice and QC plan
  • Reporting and reuse intent (repository deposition, embargo needs)

What you can expect

Interpretability

Results come with context: QC evidence, annotation confidence, processing documentation, and expert guidance on biological interpretation.

Reusability

Datasets are structured for reanalysis, cross-study comparison, and multi-omics integration, in formats suitable for deposition in established repositories.

Infrastructure & preservation

Data are stored on Amsterdam UMC infrastructure supported by ACDC, with SURF services for long-term preservation. Where appropriate, metadata can be registered in national catalogues to support findability.

NExTLi encourages data sharing in accordance with FAIR principles: as open as possible, as closed as necessary. Decisions on data release, embargo periods, and access conditions remain with the data owners.

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