User Journeys

MOMSI user journeys provide unique use-case examples and queries as educational material to assist users with navigation and exploration of our repository dashboard and FAIRsharing collection. Journeys explore curation activity themes covering subject area curations (centered around application technologies), standard types, and research data lifecycle stage examples.

If you would like to provide feedback on our existing user journeys, please fill out this form. If you would like to suggest a new user journey or collaborate, please submit a blank issue request.

MOMSI Research Data Lifecycle Journeys

The Research Data Management toolkit for Life Sciences (RDMkit) is one of many global community resources supporting educational awareness around core data management concepts and best practices for proper handling of digital data at each stage of the research data life cycle. The MOMSI landscape review dashboard curation workflow includes leveraging key concepts from RDMkit (Figure 1) and expands on this work to capture how each domain or generalist standard aligns to the research data lifecycle (where applicable). Capturing domain use-case research data lifecycle curations, as part of our curation criteria, aims to provide expert level (domain-informed) recommendation resources for non-expert professionals tasked with data management planning and forecasting tasks.

Collaboration Highlight: RDA Life Science Data Infrastructures IG

  • Working group alignments aimed to enhance research data lifecycle standard-informed decision making and educational domain-aware materials supporting data stewardship and management best practices.

doi: 10.5281/zenodo.11552128 Figure 1. MOMSI WG curations expand on RDMkit plan, collect, process, and analyze stages for adding domain standard use-case context to generalist research data lifecycle frameworks and link to FAIRsharing standards types listed at our collection.

MOMSI Subject Area Standard Implementations Research Data Lifecycle Journeys

Core concepts, terms, and curation activity examples incorporating RDMkit use-case considerations represent potential standard selections based on different data management roles and tasks performed at each stage of the research data lifecycle (Planning, Collecting, Processing, Analyzing, Preserving, Sharing, Reusing).

  1. See planning use-case considerations for selecting established and maintained ontologies while drafting a data management plan from this RDMkit example relevant to MOMSI curated Universal standards.
  2. See collection use-case considerations for metagenomics reporting guidelines from this RDMkit example relevant to MOMSI curated Transcriptomics standards.
  3. See processing use-case considerations for mass spectrometry data file formats from this RDMkit example relevant to MOMSI curated Proteomics and Metabolomics standards.
  4. See analysis use-case considerations for single-cell sequencing data file formats from this RDMkit example relevant to MOMSI curated Genomics standards.
  5. See preservation use-case considerations for publishing and storing expression data from this RDMkit example relevant to MOMSI curated Genomics standards.
  6. See sharing use-case considerations for sharing structural predictions from this RDMkit example relevant to MOMSI curated Proteomics standards.
  7. See reuse use-case considerations for persistent identifier schema selections from this RDMkit example relevant to MOMSI curated Universal standards.

MOMSI FAIRsharing Collection Journeys

The MOMSI WG FAIRsharing Collection is a refined and filtered down list of Omics specific and domain relevant universal terminologies, metadata reporting guidelines, data models or formats, and identifier schemas.

New and existing standards listed in this collection have undergone an iterative in-depth landscape review process using the MOMSI curation dashboard sustainability workflow. This process involves evaluating the accuracy and completeness of each standard and the minimal information criteria required for curation. Our collection seeks to benefit and encourage continuous, open, and machine-actionable Multi-omics community standards curation, supporting evolving research data management and sharing best practices.

Note: If you notice a standard is missing from the output results listed under a specific query below, check the standard record to make sure curations have been recently and accurately updated.

Collaboration Highlight: RDA FAIRsharing WG, FAIRsharing Community Champions

  • FAIRsharing is a community curated educational resource containing linked records representing data and metadata standards, inter-related to databases and data policies.
  • Guides users to discover, select, and implement standards located at our collection resulting from our repository curation workflow.
  • Access machine-actionable trustworthy standard resources supporting data management tasks with confidence directly from the MOMSI dashboard. As a service provider FAIRsharing assigns unique digital object identifiers using DOI citation timestamps reflecting latest updates and access information.

Beginner Journeys

"Beginner" journeys introduce entry level core concepts curated at the dashboard and listed at our collection. See "FAIRsharing in a nutshell" and provided education material (prepared by the FAIRsharing Community Champions) to learn more about how FAIRsharing record resources can support your research endeavors.

See example queries below for a few ways to browse MOMSI WG standards aligned to your interest from our collection.

  1. Browse Standards by FAIRsharing Standard Type
  1. Browse Standards by MOMSI Subject Area Class
  1. Browse Standards by MOMSI Subject Area Subclass
  1. Browse Standards by Domain Application Technology

Advanced Journeys

"Advanced" journeys provide a more in-depth view of standards listed across multiple Omics domains and standard types curated at the dashboard and listed at our collection. See "FAIRsharing content: standards overview" and "FAIR Principles in a nutshell" to learn more about how combined Omics standards and Universal standards can support FAIR research developments.

  1. Browse MOMSI Curations by Domain vs. Universal Standard Types

  2. Browse MOMSI Curations by Relevant Submission Criteria

    Note: render times for each query may take a few minutes based on the size and complexity of the established relationships.

References

  1. RDMkit: The ELIXIR Research Data Management toolkit for Life Sciences URL: https://rdmkit.elixir-europe.org (Accessed 2025-04-12).
  2. Sansone, SA., McQuilton, P., Rocca-Serra, P. et al. FAIRsharing as a community approach to standards, repositories and policies. Nat Biotechnol 37, 358–367 (2019). https://doi.org/10.1038/s41587-019-0080-8
  3. Allyson Lister, & Susanna-Assunta Sansone. (2023, July 28). FAIRsharing in a nutshell. Zenodo. https://doi.org/10.5281/zenodo.8191958
  4. Malin Sandström, Allyson Lister, & Susanna-Assunta Sansone. (2023, July 26). FAIRsharing content: standards overview. Zenodo. https://doi.org/10.5281/zenodo.8186982
  5. Lister, A., Sansone, S.-A., & Rocca-Serra, P. (2024, June 19). FAIR Principles in a nutshell. Zenodo. https://doi.org/10.5281/zenodo.12167786