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Machine Learning and Open Science: Research Data Management Community of Practice

Machine Learning and Open Science: Research Data Management Community of Practice Online

Our Research Data Management Community of Practice is back with a bang! September's session is all about Machine Learning and Open Science. With training data impacting research results, what's the best way to share ML-based science and ensure research is reproducible and valid? Join us Thursday, September 26 at 11 AM for a great discussion between researchers!

Dr. Alemu Gonsamo (Canada Research Chair in Remote Sensing of Terrestrial Ecosystems, Earth, Environment & Society) and Ricardo Barros Lourenco (Earth, Environment & Society) will unpack training algorithms with data from the Ministry of Natural Resources and then sharing data for a recent paper on peat depth and carbon storage.

Dr. Cynthia Lokker (Health Research Methods, Evidence & Impact) and Rick Parrish (Programmer/Analyst, Health Information Research Unit) will discuss sharing machine learning data for an article and their move from data available on request to a publicly findable restricted access dataset backed by a data sharing agreement. Rick will also share details on depositing an algorithm separately from a dataset. 

Here is the meeting link. Learn more and join the RDM community!

Date:
Thursday, September 26, 2024
Time:
11:00am - 12:00pm
Time Zone:
Eastern Time - US & Canada (change)
Online:
This is an online event. Event URL will be sent via registration email.
Audience:
  Everyone  
Categories:
  Research Data Management     Workshops  
Registration has closed.

CODE OF CONDUCT

The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.

Event Organizer

Lewis & Ruth Sherman Centre for Digital Scholarship

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