---
title: What are Global Tags in SciNote?
description: Tags in SciNote allow you to label tasks, experiments, projects, and inventories with customizable metadata.
---

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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 labels that are centrally managed by Workspace Owners. They allow teams to create, apply, and reuse standardized tags across all Tasks and Experiments within the workspace, making it easier to search, filter, and report across projects.

#### 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

The examples below show how tags can be tailored to match how your team or lab organizes its work. Use these as a starting point and adapt the naming conventions to fit your workflows.

#### 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 tag naming convention (e.g., Category:Value) and apply it consistently across the workspace
- **Lack of governance**: Assign clear responsibility for tag maintenance

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