Annotating your data is the process of labeling files so that users can:
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get a general understanding of what information is contained in the file
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determine what type of experiment was performed
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determine what type of biospecimen was used
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assess whether the data is the type of data that they are looking for
At the end of this page, you’ll find our latest video tutorial that covers the steps involved in annotating data using our web app.
Annotation is not a replacement for sharing experimental methods via a publication method section, in your Synapse project, or via a protocol repository like http://protocols.io.
This document has been updated with the deprecation of our previous Data Curator App (DCA). If you are a former DCA user and want to understand the differences, please also see our Synapse Curator Transition Guide.
Steps
1. Log in to Synapse
2. Ensure your data is properly uploaded
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If you haven’t done so already, follow the instructions at How to Upload Data.
3. Go to your “Tasks and Actions” tab and find the task correspond to your folder
4. Click the “Open curator” link and fill in metadata in the spreadsheet-like UI
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The webinar video below explains the application and demonstrates next steps at the 20:00 point into the recording. You’ll see how to interact with the grid, understand validation errors, using the AI assistant, and more.
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https://docs.synapse.org/synapse-docs/managing-metadata-with-curator provides latest guidance on features