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Validate dataset
The Curation Team reviews each SPARC dataset to ensure it adheres with the SPARC Dataset structure and requirements. If not, a back-and-forth will ensue between dataset owner/manager and the Curation Team to address the issues. To make the dataset review process more seamless, we have implemented a validator in SODA that automatically checks for your dataset for high-level errors and errors commonly seen by the Curation Team. Note that SODA's validator (more user friendly, adapted for the pre-review stage) is different from the validator developed and used by the Curation Team and some errors may still be identified by the Curation Team after submission.
To validate a SODA-structured dataset:
- Once you have specified files and metadata files from the previous steps, click "Validate" to have your dataset validated by SODA's validator before the dataset is actually generated.
To validate a local dataset:
- Select a local dataset that you would like SODA to validate, and then click on "Validate" to have your dataset validated by SODA's validator.
You can save the validator report as a PDF file by clicking on "Generate report" so you can conveniently access it while working on the issues without having to keep SODA running on your computer.
Organize and submit SPARC datasets with SODA
Connect your Pennsieve account with SODA
Upload a local dataset to Pennsieve
Connect your Airtable account with SODA
Create dataset_description.xlsx
Submit for pre-publishing review
Installing the Pennsieve Agent
Pennsieve Agent is already running
Sending log files to SODA Team
Issues regarding hidden files or folders
How to structure the submission metadata file
How to structure the dataset_description metadata file
How to structure the subjects metadata file
How to structure the samples metadata file