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Keywords: AI  or File systems  or machine learning  or health data 

HeSANDA Monash Node User Guides

This guide developed by the HeSANDA Monash node provides an overview for users of Health Data Australia (HDA).
HDA helps researchers discover and access health data. HDA is a registry and does not store the data itself but provides descriptions of the data from data owners' publishing partners....

Keywords: Health Data Australia, health data, data request, HDA, HeSANDA, data access

HeSANDA Monash Node User Guides https://dresa.org.au/materials/hesanda-monash-node-user-guides This guide developed by the HeSANDA Monash node provides an overview for users of Health Data Australia (HDA). HDA helps researchers discover and access health data. HDA is a registry and does not store the data itself but provides descriptions of the data from data owners' publishing partners. Using HDA, researchers can search these descriptions, find data of use to do their research, then request access to it. The request will be sent to the owner of the data to review. Data owners receive email notifications about new data requests and can then log into the HDA Data Request platform to review the request and determine whether access can be granted and then respond to the researcher requesting access. If the request is approved, the owner arranges for the researcher to be given access to the data. The dataset descriptions (‘metadata’) contained on HDA help researchers understand the kinds of data that exist and assess whether a dataset may be of value to their research, without the need to actually access the data. In addition to metadata, data owners provide other documentation describing the data they hold, such as study protocols and data dictionaries. Using HDA, researchers can search for data, save their searches, submit and manage data requests. Amany.Gouda-Vossos@ardc.edu.au Health Data Australia, health data, data request, HDA, HeSANDA, data access
WEBINAR: AlphaFold: what's in it for me?

This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.

Event description 

AlphaFold has taken the scientific world by storm with the ability to accurately predict the...

Keywords: Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning

WEBINAR: AlphaFold: what's in it for me? https://dresa.org.au/materials/webinar-alphafold-what-s-in-it-for-me-4d1ea222-4240-4b68-b9ae-7769ac664ee0 This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023. Event description  AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research.  Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases. Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/4ytn2_AiH8s Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
Accelerating skills development in Data science and AI at scale

At the Monash Data Science and AI  platform, we believe that upskilling our research community and building a workforce with data science skills are key to accelerating the application of data science in research. To achieve this, we create and leverage new and existing training capabilities...

Keywords: AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material

Accelerating skills development in Data science and AI at scale https://dresa.org.au/materials/accelerating-skills-development-in-data-science-and-ai-at-scale-2d8a65fa-f96e-44ad-a026-cfae3f38d128 At the Monash Data Science and AI  platform, we believe that upskilling our research community and building a workforce with data science skills are key to accelerating the application of data science in research. To achieve this, we create and leverage new and existing training capabilities within and outside Monash University. In this talk, we will discuss the principles and purpose of establishing collaborative models to accelerate skills development at scale. We will talk about our approach to identifying gaps in the existing skills and training available in data science, key areas of interest as identified by the research community and various sources of training available in the marketplace. We will provide insights into the collaborations we currently have and intend to develop in the future within the university and also nationally. The talk will also cover our approach as outlined below •        Combined survey of gaps in skills and trainings for Data science and AI •        Provide seats to partners •        Share associate instructors/helpers/volunteers •        Develop combined training materials •        Publish a repository of open source trainings •        Train the trainer activities •        Establish a network of volunteers to deliver trainings at their local regions Industry plays a significant role in making some invaluable training available to the research community either through self learning platforms like AWS Machine Learning University or Instructor led courses like NVIDIA Deep Learning Institute. We will discuss how we leverage our partnerships with Industry to bring these trainings to our research community. Finally, we will discuss how we map our training to the ARDC skills roadmap and how the ARDC platforms project “Environments to accelerate Machine Learning based Discovery” has enabled collaboration between Monash University and University of Queensland to develop and deliver training together. contact@ardc.edu.au AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material
Monash University - University of Queensland training partnership in Data science and AI

We describe the peer network exchange for training that has been recently created via an ARDC funded partnership between Monash University and Universities of Queensland under the umbrella of the Queensland Cyber Infrastructure Foundation (QCIF). As part of a training program in machine learning,...

Keywords: data skills, training partnerships, data science, AI, training material

Monash University - University of Queensland training partnership in Data science and AI https://dresa.org.au/materials/monash-university-university-of-queensland-training-partnership-in-data-science-and-ai-8082bf73-d20f-4214-ad8c-95123e25a36c We describe the peer network exchange for training that has been recently created via an ARDC funded partnership between Monash University and Universities of Queensland under the umbrella of the Queensland Cyber Infrastructure Foundation (QCIF). As part of a training program in machine learning, visualisation, and computing tools, we have established a series of over 20 workshops over the year where either Monash or QCIF hosts the event for some 20-40 of their researchers and students, while some 5 places are offered to participants from the other institution. In the longer term we aim to share material developed at one institution and have trainers present it at the other. In this talk we will describe the many benefits we have found to this approach including access to a wider range of expertise in several rapidly developing fields, upskilling of trainers, faster identification of emerging training needs, and peer learning for trainers. contact@ardc.edu.au data skills, training partnerships, data science, AI, 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://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 machine learning, training, skills, community of practice, trainers, training material
HeSANDA Monash Node Workshop Content

Slide presentation for a HeSANDA workshop delivered on January 1, 2023, which provides the audience with a broad understanding of the HeSANDA program, including Health Data Australia (HDA). 
 
What is HeSANDA:
The Health Studies Australian Data Asset (HeSANDA) is a national program that makes...

Keywords: health data, clinical trials, HeSANDA, Health Data Australia

HeSANDA Monash Node Workshop Content https://dresa.org.au/materials/hesanda-monash-node-workshop-content Slide presentation for a HeSANDA workshop delivered on January 1, 2023, which provides the audience with a broad understanding of the HeSANDA program, including Health Data Australia (HDA).    What is HeSANDA: The Health Studies Australian Data Asset (HeSANDA) is a national program that makes health and medical research data easier to find. It facilitates access, sharing and reuse of research data. This results in a reduction in research waste, improvements in researcher collaboration, and an opppotunity ti answer new research questions. It aims to support more efficitent and effective research to help improve health outcome.   Amany.Gouda-Vossos@ardc.edu.au health data, clinical trials, HeSANDA, Health Data Australia
HeSANDA Queensland Node

Hear Kathy Dallest, from Queensland's Cyber Infrastructure Foundation, speak on the Queensland node - a catalogue for sharing clinical trial data - and how it feeds into the national Health Data Australia platform.

Keywords: health data, research data, clinical trial data

HeSANDA Queensland Node https://dresa.org.au/materials/hesanda-queensland-node Hear Kathy Dallest, from Queensland's Cyber Infrastructure Foundation, speak on the Queensland node - a catalogue for sharing clinical trial data - and how it feeds into the national Health Data Australia platform. research@healthtranslationqld.org.au health data, research data, clinical trial data
HeSANDA Queensland Node - Health Data Australia

Hear Dr Kristan Kang, from the ARDC, speak about the Health Data Australia catalogue.

Keywords: health data, health data, research data

HeSANDA Queensland Node - Health Data Australia https://dresa.org.au/materials/hesanda-queensland-node-health-data-australia Hear Dr Kristan Kang, from the ARDC, speak about the Health Data Australia catalogue. research@healthtranslationqld.org.au health data, health data, research data
"How To" Video Guide for the Australian Child and Youth Wellbeing Atlas

This "How To" Video Guide for the Australian Child and Youth Wellbeing Atlas covers key features, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial...

Keywords: research data, digital research skills, health data, digital research training, Community Connect, ARDC

"How To" Video Guide for the Australian Child and Youth Wellbeing Atlas https://dresa.org.au/materials/how-to-video-guide-for-the-australian-child-and-youth-wellbeing-atlas This "How To" Video Guide for the Australian Child and Youth Wellbeing Atlas covers key features, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial visualisations and maps at various geographic levels. A/Prof Rebecca Glauert, UWA, Marketa Reeves, UWA research data, digital research skills, health data, digital research training, Community Connect, ARDC
User Manual for the Australian Child and Youth Wellbeing Atlas

This user manual for the Australian Child and Youth Wellbeing Atlas covers key features of the platform, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers...

Keywords: research data, health data, digital research skills, digital research training, Community Connect, ARDC

User Manual for the Australian Child and Youth Wellbeing Atlas https://dresa.org.au/materials/user-manual-for-the-australian-child-and-youth-wellbeing-atlas This user manual for the Australian Child and Youth Wellbeing Atlas covers key features of the platform, step-by-step instructions, and screen shots. It assists users in navigating the data platform with 400+ data sets on children and young people's health and wellbeing. The platform offers geospatial visualisations and maps at various geographic levels. A/Prof Rebecca Glauert, UWA, Marketa Reeves, UWA research data, health data, digital research skills, digital research training, Community Connect, ARDC
Managing Data using Acacia @ Pawsey

Acacia is Pawsey's "warm tier" or project storage. This object store is fully integrated with Setonix, Pawsey's main supercomputer, enabling fast transfer of data for project use.

These short videos introduce this high-speed object storage for hosting research data online.

Acacia is named...

Keywords: data, data skills, Acacia, Pawsey Supercomputing Centre, object storage, File systems

Managing Data using Acacia @ Pawsey https://dresa.org.au/materials/managing-data-using-acacia-pawsey Acacia is Pawsey's "warm tier" or project storage. This object store is fully integrated with Setonix, Pawsey's main supercomputer, enabling fast transfer of data for project use. These short videos introduce this high-speed object storage for hosting research data online. Acacia is named after Australia’s national floral emblem the Golden Wattle – Acacia pycnantha. training@pawsey.org.au data, data skills, Acacia, Pawsey Supercomputing Centre, object storage, File systems ugrad masters phd ecr researcher support professional
WEBINAR: AlphaFold: what's in it for me?

This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023.

Event description 

AlphaFold has taken the scientific world by storm with the ability to accurately predict the...

Keywords: Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning

WEBINAR: AlphaFold: what's in it for me? https://dresa.org.au/materials/webinar-alphafold-what-s-in-it-for-me This record includes training materials associated with the Australian BioCommons webinar ‘WEBINAR: AlphaFold: what’s in it for me?’. This webinar took place on 18 April 2023. Event description  AlphaFold has taken the scientific world by storm with the ability to accurately predict the structure of any protein in minutes using artificial intelligence (AI). From drug discovery to enzymes that degrade plastics, this promises to speed up and fundamentally change the way that protein structures are used in biological research.  Beyond the hype, what does this mean for structural biology as a field (and as a career)? Dr Craig Morton, Drug Discovery Lead at the CSIRO, is an early adopter of AlphaFold and has decades of expertise in protein structure / function, protein modelling, protein – ligand interactions and computational small molecule drug discovery, with particular interest in anti-infective agents for the treatment of bacterial and viral diseases. Craig joins this webinar to share his perspective on the implications of AlphaFold for science and structural biology. He will give an overview of how AlphaFold works, ways to access AlphaFold, and some examples of how it can be used for protein structure/function analysis. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/4ytn2_AiH8s Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
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://dresa.org.au/materials/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 video here: https://youtu.be/cQS0guC5_Cg contact@ardc.edu.au machine learning, training, skills, community of practice, trainers, training material
Accelerating skills development in Data science and AI at scale

At the Monash Data Science and AI  platform, we believe that upskilling our research community and building a workforce with data science skills are key to accelerating the application of data science in research. To achieve this, we create and leverage new and existing training capabilities...

Keywords: AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material

Accelerating skills development in Data science and AI at scale https://dresa.org.au/materials/accelerating-skills-development-in-data-science-and-ai-at-scale At the Monash Data Science and AI  platform, we believe that upskilling our research community and building a workforce with data science skills are key to accelerating the application of data science in research. To achieve this, we create and leverage new and existing training capabilities within and outside Monash University. In this talk, we will discuss the principles and purpose of establishing collaborative models to accelerate skills development at scale. We will talk about our approach to identifying gaps in the existing skills and training available in data science, key areas of interest as identified by the research community and various sources of training available in the marketplace. We will provide insights into the collaborations we currently have and intend to develop in the future within the university and also nationally. The talk will also cover our approach as outlined below •        Combined survey of gaps in skills and trainings for Data science and AI •        Provide seats to partners •        Share associate instructors/helpers/volunteers •        Develop combined training materials •        Publish a repository of open source trainings •        Train the trainer activities •        Establish a network of volunteers to deliver trainings at their local regions Industry plays a significant role in making some invaluable training available to the research community either through self learning platforms like AWS Machine Learning University or Instructor led courses like NVIDIA Deep Learning Institute. We will discuss how we leverage our partnerships with Industry to bring these trainings to our research community. Finally, we will discuss how we map our training to the ARDC skills roadmap and how the ARDC platforms project “Environments to accelerate Machine Learning based Discovery” has enabled collaboration between Monash University and University of Queensland to develop and deliver training together. contact@ardc.edu.au AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material
Monash University - University of Queensland training partnership in Data science and AI

We describe the peer network exchange for training that has been recently created via an ARDC funded partnership between Monash University and Universities of Queensland under the umbrella of the Queensland Cyber Infrastructure Foundation (QCIF). As part of a training program in machine learning,...

Keywords: data skills, training partnerships, data science, AI, training material

Monash University - University of Queensland training partnership in Data science and AI https://dresa.org.au/materials/monash-university-university-of-queensland-training-partnership-in-data-science-and-ai We describe the peer network exchange for training that has been recently created via an ARDC funded partnership between Monash University and Universities of Queensland under the umbrella of the Queensland Cyber Infrastructure Foundation (QCIF). As part of a training program in machine learning, visualisation, and computing tools, we have established a series of over 20 workshops over the year where either Monash or QCIF hosts the event for some 20-40 of their researchers and students, while some 5 places are offered to participants from the other institution. In the longer term we aim to share material developed at one institution and have trainers present it at the other. In this talk we will describe the many benefits we have found to this approach including access to a wider range of expertise in several rapidly developing fields, upskilling of trainers, faster identification of emerging training needs, and peer learning for trainers. contact@ardc.edu.au data skills, training partnerships, data science, AI, training material
HPC file systems and what users need to consider for appropriate and efficient usage

Three videos on miscellaneous aspects of HPC usage - useful reference for new users of HPC systems.

1 – General overview of different file systems that might be available on HPC. The video goes through shared file systems such as /home and /scratch, local compute node file systems (local...

Keywords: HPC, high performance computer, File systems

Resource type: video, presentation

HPC file systems and what users need to consider for appropriate and efficient usage https://dresa.org.au/materials/hpc-file-systems-and-what-users-need-to-consider-for-appropriate-and-efficient-usage Three videos on miscellaneous aspects of HPC usage - useful reference for new users of HPC systems. 1 – General overview of different file systems that might be available on HPC. The video goes through shared file systems such as /home and /scratch, local compute node file systems (local scratch or $TMPDIR) and storage file system. It outlines what users need to consider if they wish to use any of these in their workflows. 2 – Overview of the different directories that might be present on HPC. These could include /home, /scratch, /opt, /lib and lib64, /sw and others. 3 – Overview of the Message-of-the-day file and the message that is displayed to users every time they log in. This displays info about general help and often current problems or upcoming outages. QCIF Training (training@qcif.edu.au) HPC, high performance computer, File systems