Plan SDRF annotation by defining metadata strategy and selecting templates.
npx skills add https://github.com/bigbio/sdrf-skills --skill sdrf-brainstorm
Please help me install this Agent Skill. Skill: sdrf:brainstorm Source: https://github.com/bigbio/sdrf-skills/tree/main/skills/sdrf-brainstorm Command: npx skills add https://github.com/bigbio/sdrf-skills --skill sdrf-brainstorm
This session helps plan SDRF annotation before creating the file, aligning team goals and metadata objectives.
Describe your experimental plan and goals, then follow the step-by-step prompts to select templates and draft the SDRF plan before creating the file.
High-intent search queries and answers about installing and using this skill.
SDRF metadata annotation standardizes proteomics experiment descriptions to ensure reproducibility. You need SDRF when submitting proteomics data, requiring structured columns and ontology terms to describe organism, technology, and experimental design.
To plan SDRF metadata strategy, define your organism, technology, and required metadata fields collaboratively. Select appropriate SDRF templates, outline a structured column plan, and establish validation steps before drafting the actual SDRF file.
Selecting the correct SDRF template depends on your specific proteomics technology and experimental design. Guided brainstorming helps match your experiment scenario to the right template, ensuring required metadata fields and ontology terms are captured.
Yes, ontology terms are enforced during SDRF annotation to guarantee metadata standardization and reproducibility. Incorporating controlled vocabulary ensures your proteomics experiment descriptions are machine-readable and interoperable across repositories.
Reference datasets are provided to help you learn SDRF annotation planning. Analyzing these examples clarifies how to structure columns, apply templates, and define metadata fields for your own proteomics experiments before file creation.
The best way to align team goals for SDRF metadata is structured collaborative brainstorming. This process defines metadata objectives and outlines required columns and templates before drafting the SDRF file, ensuring all team members agree.
liqiongyuGenerate OKR packs with objectives, key results, guardrails, and review cadences.
bigbioExplain SDRF column definitions, format rules, and validation errors for proteomics metadata.
bigbioValidate SDRF files for structural, template, and ontology issues.
bigbioResolve ontology terms and accessions for SDRF columns via OLS and databases.
