RDA MOMSI multi-omics metadata standards dashboard

31 January 2025

Richland, Washington | RDA-Tiger, in collaboration with MOMSI WG

Multi-Omics Metadata Standards Integration (MOMSI) Research Data Alliance Working Group wanted to build a machine-actionable, query-based, interactive dashboard. The dashboard will render information from their existing Landscape Review, currently contained in a Google Sheet format.

RDA MOMSI multi-omics metadata standards dashboard

Landscape Review includes over 220 multidisciplinary multi-omics (genomics, proteomics, metabolomics, lipidomics, etc.) standards curated by the MOMSI WG.

The objective of the new interactive web-based dashboard is to provide open access to the Landscape Review in tracking transparency from one deliverable to another, enabling version control, submission of new standards to the WG’s collection of work, making updates to existing standards within their collection, and providing a transparent method for sharing expert-level information with non-expert stakeholders.

The interactive dashboard tool is intended to enable continued community engagement and expansion of MOMSI-WG deliverables as future standards evolve as part of their long-term maintenance plan.

Our solution

Data infrastructure must support a publication workflow, and the dashboard is to support querying and discovery. The components and capacity include:

  • A front-end interface for querying standards with tagged navigation, filtering and visualisation.
  • Submission of new standards via a form associated with the project GitHub repository.
  • Version control for new and updated standard representation.
  • Links to external structured resources and standards.
  • Renders from a core repository in GitHub.

Whythawk proposed a combination of Observable Framework’s visual dashboard platform served as a static site on GitHub Pages. We automated the entire process of standards submissions and updates using GitHub Issue Templates and Actions to automatically process and rebuild the dashboard.

The objective is a low-maintenance, low-cost data explorer which supports the WG’s mandate.

Outcomes

We collaborated with the WG to interpret their requirements and develop an appropriate data explorer and visualisations. Work was delivered within four weeks.

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