Open Data Training Workshop: Synthetic Data & The 2023 Pediatric Sepsis Data Challenge

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Description:
Objective(s): Momentum for open access to research is growing. Funding agencies and publishers are increasingly requiring researchers make their data and research outputs open and publicly available. However, this introduces many challenges, especially when managing confidential clinical data.

The aim of this 1 hr virtual workshop is to provide participants with knowledge about what synthetic data is, methods to create synthetic data, and the 2023 Pediatric Sepsis Data Challenge.

Workshop Agenda:

1. Introduction - Speaker: Mark Ansermino, Director, Centre for International Child Health

2. "Leveraging Synthetic Data for an International Data Challenge" - Speaker: Charly Huxford, Research Assistant, Centre for International Child Health

3. "Methods in Synthetic Data Generation." - Speaker: Vuong Nguyen, Biostatistician, Centre for International Child Health and The HIPpy Lab

This workshop draws on work supported by the Digital Research Alliance of Canada.

Data Description: Presentation slides, Workshop Video, and Workshop Communication

Charly Huxford: Leveraging Synthetic Data for an International Data Challenge presentation and accompanying PowerPoint slides.

Vuong Nguyen: Methods in Synthetic Data Generation presentation and accompanying Powerpoint slides.

This workshop was developed as part of Dr. Ansermino's Data Champions Pilot Project supported by the Digital Research Alliance of Canada.

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Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator on this page under "collaborate with the pediatric sepsis colab."
Author(s):
Huxford, Charly

Huxford, Charly

University of British Columbia
, Nguyen, Vuong

Nguyen, Vuong

University of British Columbia
, Trawin, Jessica

Trawin, Jessica

University of British Columbia
, Johnson, Teresa

Johnson, Teresa

University of British Columbia
, Kissoon, Niranjan

Kissoon, Niranjan

University of British Columbia
, Wiens, Matthew

Wiens, Matthew

University of British Columbia
, Ogilvie, Gina

Ogilvie, Gina

University of British Columbia
, Murthy, Srinivas

Murthy, Srinivas

University of British Columbia
, Dhugga, Gurm

Dhugga, Gurm

University of British Columbia
, Kinshella, Maggie Woo

Kinshella, Maggie Woo

University of British Columbia
, and Ansermino, J Mark

Ansermino, J Mark

University of British Columbia
Contributor(s):
CoLab Coordinator and Pallot , Katija
Source Repository:
UBC Dataverse
Series:
Pediatric Sepsis Data CoLab // Open Data Resources
Publisher(s):
Borealis
Access:
Public
License:
CC BY-NC-SA 4.0
URL:
https://doi.org/10.5683/SP3/IVSKZ6
Publication date:
2023-04-18
Subjects:
Medicine, Health and Life Sciences
Keywords:
Algorithms, Infant, Sepsis, Child, Infection, Data science, Data management, Medical informatics, Data curation, Big data, Common data elements, Data aggregation, Pediatric, and LCSH
Identifier:
https://doi.org/10.5683/SP3/IVSKZ6

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Citation

APA Citation:
Huxford, C., Nguyen, V., Trawin, J., Johnson, T., Kissoon, N., Wiens, M., Ogilvie, G., Murthy, S., Dhugga, G., Kinshella, M. W., & Ansermino, J. M. (2023). Open Data Training Workshop: Synthetic Data & The 2023 Pediatric Sepsis Data Challenge [Data set]. UBC Dataverse. https://doi.org/10.5683/SP3/IVSKZ6
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