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Join ScHARe Think-a-Thon webinar series: Preparing for AI-Driven Research 2: An Introduction to FAIR Data and AI-Ready Datasets on November 15, 2023

Here is the information from the NIDDK Central Repository and the ScHARe:

"


ScHARe Think-a-Thons Webinar Series
Preparing for AI-Driven Research 2: An Introduction to FAIR Data and AI-Ready Datasets


The NIDDK Central Repository will be collaborating with the Science Collaborative for Health disparities and Artificial intelligence bias REduction (ScHARe) to host a webinar/think-a-thon on November 15, 2023, at 2PM (EST). The webinar will walk participants through the data challenge datasets and show them how to prepare datasets for AI analyses and how to address bias in datasets to drive meaningful insights. Registration for this webinar will be open until the day of the event. We are encouraging data challenge participants to register for the webinar. Registration link below.
ScHARe Think-A-Thon link: https://nih.zoomgov.com/meeting/register/vJItfuqurzkrHfPOTgRoJyX1PzmEBw61gEw#/registration

The Science Collaborative for Health disparities and Artificial intelligence bias REduction (ScHARe) Think-a-Thon webinar series is produced by the National Institute on Minority Health and Health Disparities and the National Institute of Nursing Research, part of the National Institutes of Health. This session will cover how to prepare an AI-ready dataset using gold standard data management principles—including Transparent documentation and FAIR (Findable, Accessible, Interoperable, and Reusable) data—and how to ensure data addresses intended outcomes.

What you will learn:

How to prepare an AI-ready dataset using gold standard data management principles, including:

  • Making datasets findable, accessible, interoperable, and reusable (FAIR)
  • Using transparent data documentation to foster data re-use
  • Ensuring that selected data addresses expected outcomes and drives meaningful AI insights
  • Handling missing data through strategies, proxies, and synthetic data

No previous knowledge/participation is needed. Researchers from populations historically underrepresented in data science, including diverse racial and ethnic groups and women, are encouraged to join. All event registrants who consent (below) to be pre-registered for the free ScHARe platform will be added to a free temporary billing project that allows them to work with materials at no cost during the event. Registration ends noon Nov. 20. During the event, ScHARe staff will help registered users set up their accounts. NOTE: For reasonable accommodations, email schare@mail.nih.gov by Nov. 9."


Source and more information: https://www.nimhd.nih.gov/resources/schare/think-a-thons.html



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