High-level generic use case examples (Projects/Experiments/Tasks in SciNote)
Check out these examples below of common use cases of the SciNote 3-level Project –> Experiment –> Task (PET) hierarchy for structuring data in the ELN.
Our examples include how to use SciNote's Project/Experiment/Task structure to track data for:
- 1) Stability Studies
- 2) Research & Development (R&D) Experimentation
- 3) Quality Control (QC) Testing
- 4) Method Development
- 5) Cross-functional activities
- 6) Individual Contributor Lab Notebooks
Review the last protocol step below to learn key takeaways about the flexibility of SciNote's data structure and access additional resources.
Scenario: A team conducts long-term stability tests to see how products or samples change over time under different conditions.
Potential SciNote Structure:
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Project: “Stability Study – New Formula”
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Experiment #1: “Accelerated Stability (40°C)”
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Task A: “Initial Setup & Sampling Protocol”
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Task B: “Weekly Observations & Data Recording”
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Experiment #2: “Room Temperature Stability (25°C)”
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Task A: “Initial Setup & Sampling Protocol”
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Task B: “Monthly Observations & Data Recording”
Why This Works:
- Each Experiment represents a specific condition (e.g., temperature, humidity).
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Tasks outline both the setup protocol and recurring data checks over time.
Scenario: A team working on a new product or research initiative wants to keep track of various trials, protocols, and outcomes.
Potential SciNote Structure:
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Project: “New Product R&D”
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Experiment #1: “Formulation Trials”
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Task A: “Protocol – Mixing Ratios”
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Task B: “Protocol – Stability Testing”
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Experiment #2: “Prototype Evaluation”
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Task A: “Protocol – Sensory Evaluation”
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Task B: “Protocol – Performance Benchmarks”
Why This Works:
- Each Experiment represents a distinct phase of the R&D effort (e.g., formulation vs. prototype testing).
- Each Task contains protocols or test methods relevant to that specific experiment.
Scenario: A QC team needs to record batch testing data, track pass/fail criteria, and monitor corrective actions.
Potential SciNote Structure:
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Project: “Quality Control – Batch Testing”
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Experiment #1: “Batch #1234 Testing”
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Task A: “Visual Inspection Protocol”
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Task B: “Microbial Testing”
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Task C: “Record Results & Approvals”
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Experiment #2: “Batch #1235 Testing”
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Task A: “Visual Inspection Protocol”
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Task B: “Microbial Testing”
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Task C: “Record Results & Approvals”
Why This Works:
- Each Experiment corresponds to a specific batch or lot.
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Tasks capture individual test steps, making it easy to track results and approvals in an audit-friendly format.
Scenario: A team wants to refine analytical methods, test different variables, and document each iteration systematically.
Potential SciNote Structure:
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Project: “Analytical Method Optimization”
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Experiment #1: “Method A – pH Optimization”
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Task A: “Protocol – pH Range Testing”
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Task B: “Data Analysis & Observations”
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Experiment #2: “Method A – Temperature Variations”
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Task A: “Protocol – Heat Stress Testing”
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Task B: “Data Analysis & Observations”
Why This Works:
- Each Experiment targets a particular variable (e.g., pH, temperature).
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Tasks break down the protocols and data analyses needed for each variable.
Scenario: Multiple teams (e.g., R&D, QC, Manufacturing) collaborate on a single project and need a shared system to track both scientific and operational tasks.
Potential SciNote Structure:
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Project: “Cross-Functional Product Launch”
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Experiment #1: “R&D Feasibility”
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Task A: “Initial Feasibility Tests”
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Task B: “Result Analysis & Reporting”
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Experiment #2: “QC Verification”
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Task A: “Sample Collection & Documentation”
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Task B: “QC Test Methods & Records”
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Experiment #3: “Manufacturing Scale-Up”
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Task A: “Pilot Batch Production”
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Task B: “Equipment & Process Validation”
Why This Works:
- A single Project captures the entire product launch, making it easier for cross-functional teams to see all activities.
- Separate Experiments let each department manage its specific processes without interfering with others, while still sharing data in one platform.
Scenario: A team conducts fairly independent R&D project work as individual contributors. These IC entries and their data are created within individual lab-notebook SciNote Projects, but should be visible to the rest of the team or organization.
Project access: Users are 'Owners' of their own Notebook Projects and other team members should at least be Viewers in order to search for their colleagues' data.
Potential SciNote Structure:
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Project: “User Name X – Lab Notebook”
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Experiment #1: “January 2025 – Theme of Work”
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Task A: “January 27, 2025 – Initial Setup & Sampling Protocol”
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Task B: “January 30, 2025 – Observations & Data Recording”
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Experiment #2: “February 2025 – Theme of Work”
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Task A: “February 13, 2025 – Initial Setup & Sampling Protocol”
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Task B: “February 21, 2025– Monthly Observations & Data Recording”
Why This Works:
- Each Experiment represents a specific timeframe within the user's individual R&D work (e.g., by month, quarter, year).
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Tasks outline the individual days of data recording or other discrete efforts by an individual within their specified experimental/data recording timeframe.
- A Project should group together the overarching goal or theme (e.g., product name, general study area).
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Experiments let you subdivide work according to a phase of research, product batch, or specific variable being tested.
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Tasks contain the detailed protocols, SOPs, or individual steps required to complete an experiment.
These examples are just starting points—feel free to adapt them to your team’s exact needs. We hope these scenarios inspire you to set up your own workflows in SciNote effectively. If you have any questions or need personalized advice, don’t hesitate to reach out!
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