The MOMSI WG Multi-Omics Standard Landscape Review Curation Workflow & Interactive Web-based Dashboard Tool (Deliverable 1a), located at our GitHub repository, provides in-depth exploration of Multi-omics standards (genomics, proteomics, metabolomics, etc.) and Universal standards (generalist or subject agnostic) supporting our upcoming recommendations. The MOMSI GitHub repository and dashboard capture an iterative collection of curated controlled vocabularies/ontologies, metadata reporting guidelines, data models/formats, and identifier schemas representative of Omics domain application technologies (in sequencing and mass spectrometry) and FAIR best practices.

As part of our sustainability workflow and long-term maintenance plan this repository was established to provide enhanced transparency for sharing expert-level live curation status updates and information with non-expert users. Expert curated Multi-Omics standards, originally captured in a Google Sheet and now available in a machine-actionable and version controlled environment, enables open-access to live workflows for capturing updates by the scientific community as future standards evolve. This repository serves as the first step in our sustainability workflow process resulting in downstream standard selection and inclusion at our MOMSI FAIRsharing Standards Collection (Deliverable 1b).

Community Feedback Resources

Experience any navigational challenges or have general thoughts/feedback about the dashboard, repository curation workflow, or FAIRsharing collection? We welcome your feedback and kindly ask to fill out this form so we may improve the usability of this resource.

Background

The RDA Multi-Omics Metadata Standards Integration (MOMSI) Working Group is a multidisciplinary working group is comprised of a variety of subject matter experts and research support professionals across Omics technology domains in areas of Genomics, Proteomics, Metabolomics, and Lipidomics. Multi-omics data integration involves merging different Omics data types and metadata capture methods using high-throughput technologies for quantification and characterization of large complex pools of biological molecules. An unrelenting challenge most data integration often faces is the vast array of fragmented data types and metadata data standards generated across the different Omics domains making it difficult to manage, integrate, and reuse. This working group aims to provide clear recommendations and supporting deliverables based on careful curation and dissemination of evaluated Multi-omics community standards across domains that serve to support flexible harmonization of Multi-omics data and metadata standard integration developments.

RDA supporting outputs developed by the MOMSI WG are strategically aligned to enhance existing Open Science principles and domain best practice requirements relevant to various national and regional level goals. MOMSI deliverables are designed to support ongoing scientific initiatives for 1) increasing scientific collaborations and sharing of information for the benefit of science and society, 2) support investments in data infrastructures contributing to open science, 3) foster a culture of open science aligned with domain incentives for open science data management & sharing, and 4) promote innovative approaches to open science at all data and metadata lifecycle stages of the scientific process.

Due to the revolutionary role Multi-Omics plays in advancing our scientific understanding in Life and Environmental Sciences, MOMSI WG outputs contribute to several United Nations Sustainable Development Goals (SDGs), including: ‘Good health and wellbeing’ (Goal 3),‘Quality education’ (Goal 4), ‘Climate action’ (Goal 13), ‘Life below water’ (Goal 14), and ‘Life on land’ (Goal 15).

Anderson, L., Van Den Bossche, T., & RDA Multi-Omics Metadata Standards Integration (MOMSI) WG. (2025). MOMSI WG Multi-Omics Standard Landscape Review Curation Workflow & Interactive Web-based Dashboard Tool. Research Data Alliance. https://doi.org/10.15497/RDA00133