HeSANDA & Health Data Australia FAQ
This document provides answers to common questions about the Health Studies Australian National Data Asset (HeSANDA), and the Health Data Australia (HDA), including the usage of the health data platform, sharing, contributing and accessing clinital trails data, governance, and potential risks.
Keywords: HeSANDA, Frequently asked Questions, Health Data Australia, training material
HeSANDA & Health Data Australia FAQ
https://zenodo.org/records/11075589
https://dresa.org.au/materials/hesanda-health-data-australia-faq
This document provides answers to common questions about the Health Studies Australian National Data Asset (HeSANDA), and the Health Data Australia (HDA), including the usage of the health data platform, sharing, contributing and accessing clinital trails data, governance, and potential risks.
contact@ardc.edu.au
Australian Research Data Commons
Australian Research Data Commons (type: Editor)
Australian Clinical Trials Alliance (type: Editor)
Melbourne Academic Centre for Health (type: Editor)
Mental Health Node (type: Editor)
The Queensland Node (type: Editor)
Sydney Health Partners Node (type: Editor)
Western Australia Node (type: Editor)
Monash University and Monash Partners Node (type: Editor)
Health Translation South Australia (type: Editor)
National Cancer Cooperative Trials Groups (type: Editor)
Northern Australia Node (type: Editor)
HeSANDA, Frequently asked Questions, Health Data Australia, training material
Principles Aligned Institutionally-Contextualised (PAI-C) RDM Training
This GitHub repository contains resources for an institution to contextualise a principles-based RDM training with its institution's research data management policies, processes and systems.
The adoption of PAI-C across institutions will contribute to a common baseline understanding of RDM...
Keywords: PAI-C, Training, Data Management
Principles Aligned Institutionally-Contextualised (PAI-C) RDM Training
https://github.com/Adrian-W-Chew/PAI-C-RDM-Training
https://dresa.org.au/materials/principles-aligned-institutionally-contextualised-pai-c-rdm-training
This GitHub repository contains resources for an institution to contextualise a principles-based RDM training with its institution's research data management policies, processes and systems.
The adoption of PAI-C across institutions will contribute to a common baseline understanding of RDM across institutions, which in turn will facilitate cross institutional management of data (e.g. when researchers move between institutions, and collaborate across institutions).
Dr Adrian W. Chew (w.l.chew@unsw.edu.au)
Dr Adrian W. Chew
Dr Adele Haythornthwaite
Brock Askey
Dr Jacky Cho
Dr Anesh Nair
Dr Kyle Hemming
Iftikhar Hayat
Joanna Dziedzic
Janice Chan
Kaitlyn Houston
Linlin Zhao
Caitlin Savage
Jessica Suna
Dr Emilia Decker
Sharron Stapleton
PAI-C, Training, Data Management
