eResearch Services and Capabilities
Over the last two years, the Federation for the Advancement of Victorian eResearch (FAVeR) has been working towards some understanding of the eResearch roles space, leading to the establishment of a project called 'Advancing the professionalisation of our eResearch workforce'.
The goal of this...
Keywords: skills, training, digitally skilled workforce, eresearch services, capabilities, training material
eResearch Services and Capabilities
https://zenodo.org/records/4287845
https://dresa.org.au/materials/eresearch-services-and-capabilities-a30dc7d7-2e38-42ee-979d-17e41c878768
Over the last two years, the Federation for the Advancement of Victorian eResearch (FAVeR) has been working towards some understanding of the eResearch roles space, leading to the establishment of a project called 'Advancing the professionalisation of our eResearch workforce'.
The goal of this project is to provide a common understanding of the eResearch capabilities, from which appropriate skill sets can be derived for positions or teams. In this presentation we will share an overview of the project, including: FAVeR and the APeRW Working Group, the eResearch Value Proposition and Chain, draft eResearch Services, and example capabilities. In addition, we will share the early results of a planned community consultation, which has been proposed as a ‘Birds of a Feather’ session at eResearch Australasia 2020.
This consultation aims to elicit feedback, from the broader eResearch community, on the following questions:
● Are there other aspects of eResearch Services? What falls outside the scope of the service and capabilities descriptions?
● Is there a priority between eResearch Services? e.g. Mandatory, optional, and dependencies. What’s required when for deploying an e/Digital Research support unit. What’s the priority order and what’s the minimum required?
● Is there a distinction between general and specialised capabilities? e.g. Are there cross service eResearch capabilities.
This presentation will be of interest primarily to Decision-makers and managers and Digitally focussed research support professionals.
contact@ardc.edu.au
May, Nicholas (orcid: 0000-0002-1298-1622)
skills, training, digitally skilled workforce, eresearch services, capabilities, training material
ML4AU: Trainings, trainers and building an ML community
This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.
You can watch the YouTube...
Keywords: machine learning, training, skills, community of practice, trainers, training material
ML4AU: Trainings, trainers and building an ML community
https://zenodo.org/records/5711863
https://dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community-891b095f-91c2-461d-8039-1c25f50f5857
This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.
You can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg
contact@ardc.edu.au
Bonu, Tarun (orcid: 0000-0002-3910-3475)
machine learning, training, skills, community of practice, trainers, training material
