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Are you working on an AI or machine learning project and you have a training dataset or code that you would like to publicly share? Come to this workshop for tips on best practices for sharing ML/AI data, especially for smaller and specialty datasets. We'll cover repository options and their pros and cons, documentation, licenses and citation standards. We'll also cover other resources available from the MIT Libraries data management services, including help with writing data management plans for grants.

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  • Snehadeep Gayen
  • Cam Heard
  • Candy Kang

4 people are interested in this event