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What are Global Tags in SciNote?

Tags in SciNote allow you to label tasks, experiments, projects, and inventories with customizable metadata.

Whether you're managing a multi-phase clinical study, coordinating sample processing, or running cross-departmental quality reviews, tags give you a fast, flexible way to organize and filter your work.

With the introduction of Global Tags, tags are no longer limited to individual projects - they’re now workspace-wide and centrally managed.

What Are Tags in SciNote?

Tags are short labels (e.g., Status:InProgress, Sample:Blood, Audit:FDA) that can be applied across Task in SciNote to:

  • Group related tasks across different Experiments and Projects

  • Filter for targeted search results 

  • Improve collaboration across departments

What Are Global Tags?

Global Tags in SciNote are workspace-wide and centrally managed. They allow teams to apply and reuse standardized tags across all Tasks in the workspace.

Key Capabilities of Global Tags

  • Tags can be used in Tasks across different Experiments and Projects

  • A central Tags tab in Workspace Settings allows Workspace Owners to manage tags in one place

  • Tags can be used as a filter in SciNote's Global Search 

Practical Tagging Examples

Tags can be tailored to match how your lab organizes its work.

Project-Centered Example

For studies and client projects:

  • Project:OncoStudy21

  • Sponsor:ACME Biocorp

  • Phase:Preclinical

  • Milestone:M1-Complete

Product-Centered Example

For batch and validation tracking:

  • Product:TheraX003

  • SKU:VX003-12µg

  • Platform:RT-PCR

  • Validation:Complete

Sample-Centered Example

For clinical and diagnostic workflows:

  • Sample:ThroatSwab

  • PatientID:987654-A

  • Result:Positive

  • Stage:Extraction

Process-Centered Example

For SOP-based and regulated processes:

  • Process:StabilityTest

  • SOP:SOP-002-V3

  • CAPA:Implemented

  • Audit:2024-Q2-FDA

Sample Tags by Department

  • QA/QC
    • QA:PendingReview, QC:Pass, Validation:Complete
  • Regulatory
    • Compliance:GLP, Document:SOP-Final, GxP:Yes
  • Diagnostics
    • Sample:Blood, Stage:Amplification, Result:Invalid
  • Bioinformatics
    • Pipeline:Alignment, QC:OutlierFlagged, Result:Unclear
  • IT
    • System:Validated, Access:Restricted, Audit:CAPARequired

Best Practices for Using Tags

  • Standardize tag naming conventions across teams

  • Assign only designated individuals to manage tags centrally

  • Periodically review and merge or delete redundant tags

  • Train teams on shared tag libraries and proper usage

Common Pitfalls to Avoid

  • Tag sprawl: Using multiple inconsistent versions like QA, qa, and QualityAssurance

  • Over-tagging: Too many tags reduce clarity and usefulness

  • Inconsistent formatting: Agree on a nomenclature and stick to it for consistency

  • Lack of governance: Assign clear responsibility for tag maintenance

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