User Story: AndrewΒΆ
User Story: Planning-Based Research
Use Case Overview: Andrew, a PhD student, leverages the PASTA-ELN platform to meticulously plan and execute his research projects. His structured approach includes the following steps:
Project Creation: Andrew initiates his research by creating a new project with a clear objective, such as "Effects of temperature on enzyme activity," to focus his research. The project status is set to "active" while he works on it. If paused, he updates the status to "paused" and provides a comment explaining the reason, ensuring seamless resumption of work.
Task Structuring: Within the project view, Andrew outlines the necessary steps to achieve his research objective, breaking them into smaller, manageable sub-steps. For each task added, a corresponding folder is automatically created on the hard drive within the project directory, mirroring the project hierarchy.
Including Data: During task execution, Andrew collects relevant files by moving or copying them into the respective hard drive folder and then scans the project hierarchy to extract metadata. Alternatively, he employs the drag-and-drop feature to add files directly into the project view, maintaining the project structure.
Annotation: Andrew enhances his research documentation by adding comments, tags, and ratings to each measurement and task. This practice aids in recording observations and thoughts, proving invaluable during thesis writing and publication preparation.
Linking Resources: To document the samples or instruments used, Andrew links measurements to existing samples, instruments, or procedures. This linkage facilitates future reference when detailing scientific methods.
Workflow Organization: Andrew utilizes the "Workflows" category to manage experimental workflows, which include the subcategories Workflow Plan, Workflow Log, and Procedure. The Workflow Plan provides a high-level overview, Procedures detail individual steps akin to standard operating procedures, and the Workflow Log captures deviations from the original plan.
Metadata Entry: For manually entered metadata, such as notes on result quality or experimental processes, Andrew uses the extra field in the measurement's form view.
This systematic approach enables Andrew to maintain a well-organized, planning-based project structure, ensuring efficient tracking of research steps and associated data entries.
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