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).
Licence: Creative Commons Attribution-NonCommercial 4.0
Contact: Dr Adrian W. Chew (w.l.chew@unsw.edu.au)
Keywords: PAI-C, Training, Data Management
Additional information
Status: Active
Authors: Dr Adrian W. Chew, Dr Adele Haythornthwaite, Brock Askey, Dr Jacky Cho
Contributors: 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
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
