Astronomy Data And Computing Services - Upskilling the Australian astronomy community
The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data &...
Keywords: astronomy, data skills, eresearch skills, skills, computational skills, training, skills gaps, astronomy-focused training, training material
Astronomy Data And Computing Services - Upskilling the Australian astronomy community
https://zenodo.org/records/4287748
https://dresa.org.au/materials/astronomy-data-and-computing-services-upskilling-the-australian-astronomy-community-57afa0b9-77da-4dc1-ad29-25089f19363d
The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data & computing infrastructure.
During these last 3 years, we have delivered dozens of face-to-face, hands-on workshops and created several hours worth of online tutorial materials. This talk will focus on our journey to deliver this computational skills training to the community, exploring how we chose different delivery pathways and content, based both on community input as well as our professional expertise and understanding of existing skill gaps. Most importantly we will discuss our plans for the future and how we are working on actively including the community in developing new training material beyond the usual skills survey.
Come along to this talk if you would like to hear about a national effort to deliver computational skills training and would like to know more about potential new avenues to provide just-in-time training and how to collaborate with ADACS.
contact@ardc.edu.au
Lange, Rebecca (orcid: 0000-0002-9449-4384)
astronomy, data skills, eresearch skills, skills, computational skills, training, skills gaps, astronomy-focused training, training material
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://zenodo.org/records/7865494
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)
Morton, Craig (orcid: 0000-0001-5452-5193)
Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
Astronomy Data And Computing Services - Upskilling the Australian astronomy community
The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data &...
Keywords: astronomy, data skills, eresearch skills, skills, computational skills, training, skills gaps, astronomy-focused training, training material
Astronomy Data And Computing Services - Upskilling the Australian astronomy community
https://zenodo.org/records/4287748
https://dresa.org.au/materials/astronomy-data-and-computing-services-upskilling-the-australian-astronomy-community-afea50d0-f7fe-4ad7-ad41-89fad7c14f65
The Astronomy Data And Computing Services (ADACS) initiative has been working with the Australian astronomy community for just over 3 years now. Our vision is to deliver astronomy-focused training, support and expertise to maximise the scientific return on investments in astronomical data & computing infrastructure.
During these last 3 years, we have delivered dozens of face-to-face, hands-on workshops and created several hours worth of online tutorial materials. This talk will focus on our journey to deliver this computational skills training to the community, exploring how we chose different delivery pathways and content, based both on community input as well as our professional expertise and understanding of existing skill gaps. Most importantly we will discuss our plans for the future and how we are working on actively including the community in developing new training material beyond the usual skills survey.
Come along to this talk if you would like to hear about a national effort to deliver computational skills training and would like to know more about potential new avenues to provide just-in-time training and how to collaborate with ADACS.
contact@ardc.edu.au
Lange, Rebecca (orcid: 0000-0002-9449-4384)
astronomy, data skills, eresearch skills, skills, computational skills, training, skills gaps, astronomy-focused training, training material
Role profiles for the Bureau's Stewardship Model
This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which...
Keywords: role profiles, data stewardship, data governance, data management, skills, training, training material
Role profiles for the Bureau's Stewardship Model
https://zenodo.org/records/5711869
https://dresa.org.au/materials/role-profiles-for-the-bureau-s-stewardship-model-19ee77b4-d15e-42da-96b4-9e3056d1b3e7
This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which provide the role description, assignment and key responsibilities.
You can watch the YouTube video here: https://youtu.be/RLf6B-NIffU
contact@ardc.edu.au
Lowenstein, Sally
role profiles, data stewardship, data governance, data management, skills, training, training material
Successful data training stories from NCI
NCI Australia manages a multi-petabyte sized data repository, collocated with its HPC systems and data services, which allows high performance access to many scientific research datasets across many earth science domains.
An important aspect is to provide training materials that proactively...
Keywords: skills, training, eresearch skills, HPC training, domain-specific training, reproducible workflows, training material
Successful data training stories from NCI
https://zenodo.org/records/4287750
https://dresa.org.au/materials/successful-data-training-stories-from-nci-33f110e3-0c06-492e-9cc5-fa0f886ca1b8
NCI Australia manages a multi-petabyte sized data repository, collocated with its HPC systems and data services, which allows high performance access to many scientific research datasets across many earth science domains.
An important aspect is to provide training materials that proactively engages with the research community to improve their understanding of the data available, and to share knowledge and best practices in the use of tools and other software. We have developed multiple levels of training modules (introductory, intermediate and advanced) to cater for users with different levels of experience and interest. We have also tailored courses for each scientific domain, so that the use-cases and software will be most relevant to their interests and needs.
For our training, we combine brief lectures followed by hands-on training examples on how to use datasets, using working examples of well-known tools and software that people can use as a template and modify to fit their needs. For example, we take representative use-cases from some scientific activities, from our collaborations and from user support issues, and convert to Jupyter notebook examples so that people can repeat the workfIow and reproduce the results. We also use the training as an opportunity to raise awareness of growing issues in resource management. Some examples include a familiarity of the FAIR data principles, licensing, citation, data management and trusted digital repositories. This approach to both our online training materials and workshops has been well-received by PhD students, early careers, and cross disciplinary users.
contact@ardc.edu.au
Wang, Jingbo
skills, training, eresearch skills, HPC training, domain-specific training, reproducible workflows, training material
Setting The Scene
Opening Address for the ARDC Skills Summit 2023
This presentation provides a welcome to the ARDC Skills Summit 2023, and includes an outline of the importance of digital research skills to data-enriched research, the value of skills training and highly skilled research workforce to the broader...
Keywords: research, training, skills, training material, ARDC, research data commons, digital research skills agenda
Setting The Scene
https://zenodo.org/records/7710621
https://dresa.org.au/materials/setting-the-scene-8a535906-352b-451e-be82-051b1db4c5de
Opening Address for the ARDC Skills Summit 2023
This presentation provides a welcome to the ARDC Skills Summit 2023, and includes an outline of the importance of digital research skills to data-enriched research, the value of skills training and highly skilled research workforce to the broader economy, and an overview of related ARDC activity.
contact@ardc.edu.au
Russell, Keith (orcid: 0000-0001-5390-2719)
research, training, skills, training material, ARDC, research data commons, digital research skills agenda
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://zenodo.org/records/4287746
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
Tang, Titus
AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material
Professionalizing Training - Origin Stories for the Modern Researcher
Keynote Presentation for the ARDC Skills Summit 2023
This keynote presentation provides a brief outline of Jason William’s experience and an overview of the training initiatives he has been involved in. His presentation looks at what makes a good researcher and provokes thinking about modern...
Keywords: research, training, skills, superheroes, formal, career, change, workshops, milestones, community, principles, bicycle principles, professionalizing, training material
Professionalizing Training - Origin Stories for the Modern Researcher
https://zenodo.org/records/7710785
https://dresa.org.au/materials/professionalizing-training-origin-stories-for-the-modern-researcher-0198d9cf-9d8f-467e-8031-4d3a3536af63
Keynote Presentation for the ARDC Skills Summit 2023
This keynote presentation provides a brief outline of Jason William’s experience and an overview of the training initiatives he has been involved in. His presentation looks at what makes a good researcher and provokes thinking about modern researchers and the need for them to get serious bout career-spanning training. Jason also provides an overview of the Bike Principles and focuses on the first Bike Principles recommendation - Professionalize the training of short-format training instructors and instructional designers.
contact@ardc.edu.au
Williams, Jason (orcid: 0000-0003-3049-2010)
research, training, skills, superheroes, formal, career, change, workshops, milestones, community, principles, bicycle principles, professionalizing, training material
European Open Science Cloud (EOSC) skills & training working group
European Open Science Cloud (EOSC) skills & training working group
Keywords: international skills initiatives, skills, training, EOSC, capability building, skills uplift, skills development, digital skilled workforce, training material
European Open Science Cloud (EOSC) skills & training working group
https://zenodo.org/records/4289348
https://dresa.org.au/materials/european-open-science-cloud-eosc-skills-training-working-group-e41d62e6-55ee-4e0c-9897-bfd1068799c8
European Open Science Cloud (EOSC) skills & training working group
contact@ardc.edu.au
Kuchma, Iryna (orcid: 0000-0002-2064-3439)
international skills initiatives, skills, training, EOSC, capability building, skills uplift, skills development, digital skilled workforce, training material
Data Fluency: a community of practice supporting a digitally skilled workforce
This presentation showcases the impact of the Monash Data Fluency Community of Practice upon digitally skilled Graduate Research students involved as learners and instructors in the program. The strong focus on building community to complement training, has fostered an environment of learning,...
Keywords: skills, training, eresearch skills, data skills, online learning, pedagogy, train the trainer, digitally skilled workforce, training material
Data Fluency: a community of practice supporting a digitally skilled workforce
https://zenodo.org/records/4287752
https://dresa.org.au/materials/data-fluency-a-community-of-practice-supporting-a-digitally-skilled-workforce-b911a1a8-0331-496e-95a6-0015a12acc34
This presentation showcases the impact of the Monash Data Fluency Community of Practice upon digitally skilled Graduate Research students involved as learners and instructors in the program. The strong focus on building community to complement training, has fostered an environment of learning, networking and sharing of expertise. Hear what the Graduate research students have to say about the value of skills training and how it has impacted their research; how the community has enabled them to network with a broad range of researchers and affiliate partner groups they would not ordinarily be in contact with; how their research journey has been enhanced by working as part of a multi-disciplinary team, as well as sharpening their teaching skills.
The rapid refocus from face - face to online delivery, as a result of the pandemic, highlights the importance of the multi-faceted online approach including workshops, drop-in sessions, SLACK chat and online learning resources. As a result of the shift to online, the range of strategic external partner/affiliate groups has extended and demand for workshops and drop-ins has increased. Learn how the instructors have altered their pedagogical approach to engage workshop and drop-in participants; how they have overcome some of the challenges of facilitating in an online environment; and how this is preparing them to become part of a digitally skilled workforce.
contact@ardc.edu.au
Groenewegen, David (orcid: 0000-0003-2523-1676)
skills, training, eresearch skills, data skills, online learning, pedagogy, train the trainer, digitally skilled workforce, training material
OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)
As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce...
Keywords: international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)
https://zenodo.org/records/4289356
https://dresa.org.au/materials/oecd-report-building-digital-workforce-capacity-and-skills-for-data-intensive-science-2020-a456ae97-9241-4fc6-b7f9-57c201479317
As a lead contributor to the OECD's Building Digital Workforce Capacity and Skills for Data-Intensive Science (2020) report, Dr Michelle Barker outlines in this presentation the goal of the report, i.e. to make recommendations to policy makers on how to facilitate the digital workforce capacity needed for data-intensive science, based on analysis of best practice.
The presentation highlights:
- Digital workforce capacity and COVID19: the importance of digital skills, the need for shared access to open data, software and code, and the shortfall in skills to enable a comprehensive response to such emergencies
- The ongoing need for a digital skilled workforce for data-intensive science
- Five focus areas in the report include:
1. Enablers for digital workforce capacity development
2. Defining needs: digital skills, frameworks and roles
3. Provision of training
4. Community development
5. Career paths and reward structures - Recommendations for actors incl. universities, national or regional governments
contact@ardc.edu.au
Barker, Michelle (orcid: 0000-0002-3623-172X)
international skills initiatives, skills, training, OECD, EOSC, Capability building, Skills uplift, skills development, digital skilled workforce, training material
ARDC Skills Landscape
The Australian Research Data Commons is driving transformational change in the research data ecosystem, enabling researchers to conduct world class data-intensive research. One interconnected component of this ecosystem is skills development/uplift, which is critical to the Commons and its...
Keywords: skills, data skills, eresearch skills, community, skilled workforce, FAIR, research data management, data stewardship, data governance, data use, data generation, training material
ARDC Skills Landscape
https://zenodo.org/records/4287743
https://dresa.org.au/materials/ardc-skills-landscape-56b224ca-9e30-4771-8615-d028c7be86a6
The Australian Research Data Commons is driving transformational change in the research data ecosystem, enabling researchers to conduct world class data-intensive research. One interconnected component of this ecosystem is skills development/uplift, which is critical to the Commons and its purpose of providing Australian researchers with a competitive advantage through data.
In this presentation, Kathryn Unsworth introduces the ARDC Skills Landscape. The Landscape is a first step in developing a national skills framework to enable a coordinated and cohesive approach to skills development across the Australian eResearch sector. It is also a first step towards helping to analyse current approaches in data training to identify:
- Siloed skills initiatives, and finding ways to build partnerships and improve collaboration
- Skills deficits, and working to address the gaps in data skills
- Areas of skills development for investment by skills stakeholders like universities, research organisations, skills and training service providers, ARDC, etc.
contact@ardc.edu.au
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
skills, data skills, eresearch skills, community, skilled workforce, FAIR, research data management, data stewardship, data governance, data use, data generation, training material
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)
Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building...
Keywords: training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)
https://zenodo.org/records/7710856
https://dresa.org.au/materials/ardc-2023-skills-summit-lightning-talks-day-1-february-9-2023-c91367d6-2366-4a4e-aa05-631d1e5fd95f
Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building community
Dr Mark Crowe - Bringing training to research communities - ResBaz
Liz Stokes - The Carpentries Partnership
These presentations cover theoretical frameworks for assessing training, The Kirkpatrick Model of Training Evaluation, outreach, RezBaz, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building ideas, visible research software interest group, The Carpentries and social infrastructure.
contact@ardc.edu.au
Franco, Pablo (orcid: 0000-0003-2608-2035)
Wilson, Aidan (orcid: 0000-0001-9858-5470)
Martinez, Paula (orcid: 0000-0002-8990-1985)
Crowe, Mark (orcid: 0000-0002-9514-2487)
Stokes, Liz (orcid: 0000-0002-2973-5647)
training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate...
Keywords: training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
https://zenodo.org/records/7711287
https://dresa.org.au/materials/ardc-2023-skills-summit-frameworks-panel-discussion-day-2-february-10-2023-c00730b5-3444-4ccd-8f8f-9ae8ec3dfbe6
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate Morrison - A national skills taxonomy - Australian Skills Classification (ASC)
Kathryn Unsworth - ARDC Digital Research Capabilities & Skills Framework
Peter Embelton - Enhancing skills uplift for researchers through the alignment and implementation of skills frameworks
These presentations cover skills frameworks/taxonomies/classifications, skill shortages, transferrable skills, applying SFIA (Skills Framework for the Information Age), Australian Skills Classification framework, training gaps, workforce/job requirements, Digital Research Skills Australasia (DReSA), digital literacy and applying skills frameworks.
contact@ardc.edu.au
Derbyshire, Peter
Beitz, Anthony (orcid: 0000-0002-2071-2852)
Morrison, Kate
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Embelton, Peter
training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
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://zenodo.org/records/4287864
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
Tang, Titus
data skills, training partnerships, data science, AI, training material
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
Skills initiatives at TERN
This presentation provides insight into current training efforts at TERN around data collection, data processing and data access and analytics. Highlighting various modes of training including hands-on data collection training, tutorials on deriving data, workshops, user manuals and training at...
Keywords: skills, training, infrastructure management, data management, TERN, ecosystems, training material
Skills initiatives at TERN
https://zenodo.org/records/5711879
https://dresa.org.au/materials/skills-initiatives-at-tern-e5ed5d17-a5c3-4da0-a240-82b01f7d1f25
This presentation provides insight into current training efforts at TERN around data collection, data processing and data access and analytics. Highlighting various modes of training including hands-on data collection training, tutorials on deriving data, workshops, user manuals and training at domain conferences. A list of resources and tools has also been provided for those interested in wanting to know more.
You can watch the video on YouTube here: https://youtu.be/mgGuKUGCu2g
contact@ardc.edu.au
Guru, Siddeswara (orcid: 0000-0002-3903-254X)
skills, training, infrastructure management, data management, TERN, ecosystems, 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
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://www.youtube.com/playlist?list=PLmu61dgAX-aYxrbqtSYHS1ufVZ9xs1AnI
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
Pawsey Supercomputing Research Centre
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://zenodo.org/record/7865494
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)
Morton, Craig (orcid: 0000-0001-5452-5193)
Bioinformatics, Machine Learning, Structural Biology, Proteins, Drug discovery, AlphaFold, AI, Artificial Intelligence, Deep learning
Professionalizing Training - Origin Stories for the Modern Researcher
Keynote Presentation for the ARDC Skills Summit 2023
This keynote presentation provides a brief outline of Jason William’s experience and an overview of the training initiatives he has been involved in. His presentation looks at what makes a good researcher and provokes thinking about modern...
Keywords: research, training, skills, superheroes, formal, career, change, workshops, milestones, community, principles, bicycle principles, professionalizing, training material
Professionalizing Training - Origin Stories for the Modern Researcher
https://zenodo.org/record/7710785
https://dresa.org.au/materials/professionalizing-training-origin-stories-for-the-modern-researcher
Keynote Presentation for the ARDC Skills Summit 2023
This keynote presentation provides a brief outline of Jason William’s experience and an overview of the training initiatives he has been involved in. His presentation looks at what makes a good researcher and provokes thinking about modern researchers and the need for them to get serious bout career-spanning training. Jason also provides an overview of the Bike Principles and focuses on the first Bike Principles recommendation - Professionalize the training of short-format training instructors and instructional designers.
contact@ardc.edu.au
Williams, Jason (orcid: 0000-0003-3049-2010)
research, training, skills, superheroes, formal, career, change, workshops, milestones, community, principles, bicycle principles, professionalizing, training material
Setting The Scene
Opening Address for the ARDC Skills Summit 2023
This presentation provides a welcome to the ARDC Skills Summit 2023, and includes an outline of the importance of digital research skills to data-enriched research, the value of skills training and highly skilled research workforce to the broader...
Keywords: research, training, skills, training material, ARDC, research data commons, digital research skills agenda
Setting The Scene
https://zenodo.org/record/7710621
https://dresa.org.au/materials/setting-the-scene
Opening Address for the ARDC Skills Summit 2023
This presentation provides a welcome to the ARDC Skills Summit 2023, and includes an outline of the importance of digital research skills to data-enriched research, the value of skills training and highly skilled research workforce to the broader economy, and an overview of related ARDC activity.
contact@ardc.edu.au
Russell, Keith (orcid: 0000-0001-5390-2719)
research, training, skills, training material, ARDC, research data commons, digital research skills agenda
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)
Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building...
Keywords: training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)
https://zenodo.org/record/7710856
https://dresa.org.au/materials/ardc-2023-skills-summit-lightning-talks-day-1-february-9-2023
Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)
Dr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers
Aidan Wilson - Scaling training operations & succession planning
Dr Paula Martinez - Building community
Dr Mark Crowe - Bringing training to research communities - ResBaz
Liz Stokes - The Carpentries Partnership
These presentations cover theoretical frameworks for assessing training, The Kirkpatrick Model of Training Evaluation, outreach, RezBaz, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building ideas, visible research software interest group, The Carpentries and social infrastructure.
contact@ardc.edu.au
Franco, Pablo (orcid: 0000-0003-2608-2035)
Wilson, Aidan (orcid: 0000-0001-9858-5470)
Martinez, Paula (orcid: 0000-0002-8990-1985)
Crowe, Mark (orcid: 0000-0002-9514-2487)
Stokes, Liz (orcid: 0000-0002-2973-5647)
training material, research, training, Kirkpatrick framework, RezBaz, impact, skills, impact assessment, training at scale, succession planning, automated training organisation systems, trainer workforce, research software community, participation models, community building, visible research software interest group, carpentries, social infrastructure
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate...
Keywords: training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)
https://zenodo.org/record/7711287
https://dresa.org.au/materials/ardc-2023-skills-summit-frameworks-panel-discussion-day-2-february-10-2023
Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)
Dr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy
Anthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG
Kate Morrison - A national skills taxonomy - Australian Skills Classification (ASC)
Kathryn Unsworth - ARDC Digital Research Capabilities & Skills Framework
Peter Embelton - Enhancing skills uplift for researchers through the alignment and implementation of skills frameworks
These presentations cover skills frameworks/taxonomies/classifications, skill shortages, transferrable skills, applying SFIA (Skills Framework for the Information Age), Australian Skills Classification framework, training gaps, workforce/job requirements, Digital Research Skills Australasia (DReSA), digital literacy and applying skills frameworks.
contact@ardc.edu.au
Derbyshire, Peter
Beitz, Anthony (orcid: 0000-0002-2071-2852)
Morrison, Kate
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Embelton, Peter
training material, research, training, skills, framework, sfia, eresearch, skills frameworks, skills taxonomies, skills classifications, skill shortages, transferrable skills, applying SFIA, training gaps, workforce requirements, job requirements, DReSA, digital literacy, applying skills frameworks, Australian Skills Classification framework, ASC
European Open Science Cloud (EOSC) skills & training working group
European Open Science Cloud (EOSC) skills & training working group
Keywords: international skills initiatives, skills, training, EOSC, capability building, skills uplift, skills development, digital skilled workforce, training material
European Open Science Cloud (EOSC) skills & training working group
https://zenodo.org/record/4289348
https://dresa.org.au/materials/european-open-science-cloud-eosc-skills-training-working-group
European Open Science Cloud (EOSC) skills & training working group
contact@ardc.edu.au
Kuchma, Iryna (orcid: 0000-0002-2064-3439)
international skills initiatives, skills, training, EOSC, capability building, skills uplift, skills development, digital skilled workforce, training material
Skills initiatives at TERN
This presentation provides insight into current training efforts at TERN around data collection, data processing and data access and analytics. Highlighting various modes of training including hands-on data collection training, tutorials on deriving data, workshops, user manuals and training at...
Keywords: skills, training, infrastructure management, data management, TERN, ecosystems, training material
Skills initiatives at TERN
https://zenodo.org/record/5711879
https://dresa.org.au/materials/skills-initiatives-at-tern
This presentation provides insight into current training efforts at TERN around data collection, data processing and data access and analytics. Highlighting various modes of training including hands-on data collection training, tutorials on deriving data, workshops, user manuals and training at domain conferences. A list of resources and tools has also been provided for those interested in wanting to know more.
You can watch the video on YouTube here: https://youtu.be/mgGuKUGCu2g
contact@ardc.edu.au
Guru, Siddeswara (orcid: 0000-0002-3903-254X)
skills, training, infrastructure management, data management, TERN, ecosystems, training material
Role profiles for the Bureau's Stewardship Model
This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which...
Keywords: role profiles, data stewardship, data governance, data management, skills, training, training material
Role profiles for the Bureau's Stewardship Model
https://zenodo.org/record/5711869
https://dresa.org.au/materials/role-profiles-for-the-bureau-s-stewardship-model
This presentation provides an overview of the approach being taken in the creation of a Data Stewardship framework that looks at the tools, guidance, skills and clarity of data stewardship roles at the Bureau of Meteorology. A major focus of the framework is the creation of role profiles which provide the role description, assignment and key responsibilities.
You can watch the YouTube video here: https://youtu.be/RLf6B-NIffU
contact@ardc.edu.au
Lowenstein, Sally
role profiles, data stewardship, data governance, data management, skills, training, training material
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/record/4287845
https://dresa.org.au/materials/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 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
ARDC Skills Landscape
The Australian Research Data Commons is driving transformational change in the research data ecosystem, enabling researchers to conduct world class data-intensive research. One interconnected component of this ecosystem is skills development/uplift, which is critical to the Commons and its...
Keywords: skills, data skills, eresearch skills, community, skilled workforce, FAIR, research data management, data stewardship, data governance, data use, data generation, training material
ARDC Skills Landscape
https://zenodo.org/record/4287743
https://dresa.org.au/materials/ardc-skills-landscape
The Australian Research Data Commons is driving transformational change in the research data ecosystem, enabling researchers to conduct world class data-intensive research. One interconnected component of this ecosystem is skills development/uplift, which is critical to the Commons and its purpose of providing Australian researchers with a competitive advantage through data.
In this presentation, Kathryn Unsworth introduces the ARDC Skills Landscape. The Landscape is a first step in developing a national skills framework to enable a coordinated and cohesive approach to skills development across the Australian eResearch sector. It is also a first step towards helping to analyse current approaches in data training to identify:
- Siloed skills initiatives, and finding ways to build partnerships and improve collaboration
- Skills deficits, and working to address the gaps in data skills
- Areas of skills development for investment by skills stakeholders like universities, research organisations, skills and training service providers, ARDC, etc.
contact@ardc.edu.au
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
skills, data skills, eresearch skills, community, skilled workforce, FAIR, research data management, data stewardship, data governance, data use, data generation, training material
Successful data training stories from NCI
NCI Australia manages a multi-petabyte sized data repository, collocated with its HPC systems and data services, which allows high performance access to many scientific research datasets across many earth science domains.
An important aspect is to provide training materials that proactively...
Keywords: skills, training, eresearch skills, HPC training, domain-specific training, reproducible workflows, training material
Successful data training stories from NCI
https://zenodo.org/record/4287750
https://dresa.org.au/materials/successful-data-training-stories-from-nci
NCI Australia manages a multi-petabyte sized data repository, collocated with its HPC systems and data services, which allows high performance access to many scientific research datasets across many earth science domains.
An important aspect is to provide training materials that proactively engages with the research community to improve their understanding of the data available, and to share knowledge and best practices in the use of tools and other software. We have developed multiple levels of training modules (introductory, intermediate and advanced) to cater for users with different levels of experience and interest. We have also tailored courses for each scientific domain, so that the use-cases and software will be most relevant to their interests and needs.
For our training, we combine brief lectures followed by hands-on training examples on how to use datasets, using working examples of well-known tools and software that people can use as a template and modify to fit their needs. For example, we take representative use-cases from some scientific activities, from our collaborations and from user support issues, and convert to Jupyter notebook examples so that people can repeat the workfIow and reproduce the results. We also use the training as an opportunity to raise awareness of growing issues in resource management. Some examples include a familiarity of the FAIR data principles, licensing, citation, data management and trusted digital repositories. This approach to both our online training materials and workshops has been well-received by PhD students, early careers, and cross disciplinary users.
contact@ardc.edu.au
Wang, Jingbo
skills, training, eresearch skills, HPC training, domain-specific training, reproducible workflows, training material