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
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
How can software containers help your research?
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a...
Keywords: containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
How can software containers help your research?
https://zenodo.org/records/5091260
https://dresa.org.au/materials/how-can-software-containers-help-your-research-ca0f9d41-d83b-463b-a548-402c6c642fbf
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a replicable computational environment and supports reproducibility of research results. Understanding the concept of software containers enables researchers to better communicate their research needs with their colleagues and other researchers using and developing containers.
Watch the video here: https://www.youtube.com/watch?v=HelrQnm3v4g
If you want to share this video please use this:
Australian Research Data Commons, 2021. How can software containers help your research?. [video] Available at: https://www.youtube.com/watch?v=HelrQnm3v4g DOI: http://doi.org/10.5281/zenodo.5091260 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Sam Muirhead (type: Producer)
The ARDC Communications Team (type: Editor)
The ARDC Skills and Workforce Development Team (type: ProjectMember)
The ARDC eResearch Infrastructure & Services (type: ProjectMember)
The ARDC Nectar Cloud Services team (type: ProjectMember)
containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
Institutional Research Data Management Policies and Procedures
This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples...
Keywords: research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
Institutional Research Data Management Policies and Procedures
https://zenodo.org/records/5784765
https://dresa.org.au/materials/institutional-research-data-management-policies-and-procedures-f16dd572-56e4-4979-82e5-ce64afb9d4f4
This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples of data management policies
- Key topics to include in a research data policy suite
- Checklist for a Research Data Management Policy for Australian Universities / Institutions
contact@ardc.edu.au
Australian Research Data Commons
research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
Research Data Governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
If you want to share...
Keywords: data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material
Research Data Governance
https://zenodo.org/records/5044585
https://dresa.org.au/materials/research-data-governance-6ad9ab90-1a29-41db-b4aa-f1988501530d
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
If you want to share the video please use this:
Australian Research Data Commons, 2021. Research Data Governance. [video] Available at: https://youtu.be/K_xVQRdgCIc DOI: http://doi.org/10.5281/zenodo.5044585 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Wilkinson, Max (type: Editor)
Callaghan,Shannon (type: Editor)
Savill, Jo (type: Editor)
Kang, Kristan (type: Editor)
Levett, Kerry (type: Editor)
Russell, Keith (type: Editor)
Simons, Natasha (type: Editor)
data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material
ARDC Research Data Rights Management Guide
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...
Keywords: data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide
https://zenodo.org/records/5091580
https://dresa.org.au/materials/ardc-research-data-rights-management-guide-149e27b4-fd5e-4739-8e40-be2c5ca6709c
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
data, rights, management, licence, licensing, research, policy, guide, training material
National skills ecosystem - call to action
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
Skilled trainers / facilitators
National training registry
National training event calendar
Jointly developed training
Research...
Keywords: national skills initiatives, data skills, training, skills community, training material
National skills ecosystem - call to action
https://zenodo.org/records/4289335
https://dresa.org.au/materials/national-skills-ecosystem-call-to-action-ffd9b4ed-b557-496b-ac35-72467c03c71b
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
- Skilled trainers / facilitators
- National training registry
- National training event calendar
- Jointly developed training
- Research support professionals: career/progression
contact@ardc.edu.au
Padmanabhan, Komathy
Backhaus, Ann
Papaioannou, Anastasios (orcid: 0000-0002-8959-4559)
Tang, Titus
Crowe, Mark (orcid: 0000-0002-9514-2487)
Vanichkina, Darya (orcid: 0000-0002-0406-164X)
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
national skills initiatives, data skills, training, skills community, training material
ARDC Research Software Rights Management Guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
Keywords: Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Software Rights Management Guide
https://zenodo.org/records/5003962
https://dresa.org.au/materials/ardc-research-software-rights-management-guide-d147c836-6ba8-4c76-a258-88e4c293569c
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software licensing, Software, research software, licence, License, training material
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/records/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
Why am I being asked for metadata about my research data?
Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.
This brochure was prepared for the ARDC Data Retention Project...
Keywords: metadata, research data, data collections, data citation, data retention project, training material
Why am I being asked for metadata about my research data?
https://zenodo.org/records/5778322
https://dresa.org.au/materials/why-am-i-being-asked-for-metadata-about-my-research-data-03b1895a-44bf-4961-a0a3-bd4770297236
Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.
This brochure was prepared for the ARDC Data Retention Project https://ardc.edu.au/collaborations/strategic-activities/data-retention-project/.
It is for researchers at any institution in Australia.
contact@ardc.edu.au
Australian Research Data Commons
metadata, research data, data collections, data citation, data retention project, 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://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
Health Studies Australian National Data Asset (HeSANDA) flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Keywords: clinical trial, dataset, training material
Health Studies Australian National Data Asset (HeSANDA) flyer
https://zenodo.org/records/10199242
https://dresa.org.au/materials/health-studies-australian-national-data-asset-hesanda-flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Amany.Gouda-Vossos@ardc.edu.au
Australian Research Data Commons
South Australian Health and Medical Research Institute
University of Melbourne
Deakin University
Australasian Leukaemia and Lymphoma Group
Menzies School of Health Research
Australian e-Health Research Centre
Queensland Cyber Infrastructure Foundation
University of Sydney
Curtin University
clinical trial, dataset, training material
Research Data Governance
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
If you want to share...
Keywords: data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material
Research Data Governance
https://zenodo.org/record/5044585
https://dresa.org.au/materials/research-data-governance-cab2ebba-4e56-418d-b52f-197619e542f8
This video contains key information for those who make research data-related decisions. It will help project leaders to start investigating ways to develop their own data governance policy, roles and responsibilities and procedures with the input of appropriate stakeholders.
If you want to share the video please use this:
Australian Research Data Commons, 2021. Research Data Governance. [video] Available at: https://youtu.be/K_xVQRdgCIc DOI: http://doi.org/10.5281/zenodo.5044585 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Wilkinson, Max (type: Editor)
Callaghan,Shannon (type: Editor)
Savill, Jo (type: Editor)
Kang, Kristan (type: Editor)
Levett, Kerry (type: Editor)
Russell, Keith (type: Editor)
Simons, Natasha (type: Editor)
data governance, data, research, FAIR, data management, authority, share, reuse, access, provenance, policy, responsibilities, ARDC_AU, training material
National skills ecosystem - call to action
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
Skilled trainers / facilitators
National training registry
National training event calendar
Jointly developed training
Research...
Keywords: national skills initiatives, data skills, training, skills community, training material
National skills ecosystem - call to action
https://zenodo.org/record/4289335
https://dresa.org.au/materials/national-skills-ecosystem-call-to-action
In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.
- Skilled trainers / facilitators
- National training registry
- National training event calendar
- Jointly developed training
- Research support professionals: career/progression
contact@ardc.edu.au
Padmanabhan, Komathy
Backhaus, Ann
Papaioannou, Anastasios (orcid: 0000-0002-8959-4559)
Tang, Titus
Crowe, Mark (orcid: 0000-0002-9514-2487)
Vanichkina, Darya (orcid: 0000-0002-0406-164X)
Unsworth, Kathryn (orcid: 0000-0002-5407-9987)
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
national skills initiatives, data skills, training, skills community, training material
Why am I being asked for metadata about my research data?
Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.
This brochure was prepared for the ARDC Data Retention Project...
Keywords: metadata, research data, data collections, data citation, data retention project, training material
Why am I being asked for metadata about my research data?
https://zenodo.org/record/5778322
https://dresa.org.au/materials/why-am-i-being-asked-for-metadata-about-my-research-data
Find out why metadata are important for your research data collection. This brochure shares the reasons why researchers should use metadata for their data collections.
This brochure was prepared for the ARDC Data Retention Project https://ardc.edu.au/collaborations/strategic-activities/data-retention-project/.
It is for researchers at any institution in Australia.
contact@ardc.edu.au
Australian Research Data Commons
metadata, research data, data collections, data citation, data retention project, 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://zenodo.org/record/4287746
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
Tang, Titus
AI, machine learning, eresearch skills, training, train the trainer, volunteer instructors, training partnerships, training material
Institutional Research Data Management Policies and Procedures
This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples...
Keywords: research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
Institutional Research Data Management Policies and Procedures
https://zenodo.org/record/5784765
https://dresa.org.au/materials/institutional-research-data-management-policies-and-procedures
This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.
The guide covers:
- Why have a research data management policy or policies?
- Possible approaches to constructing a research data policy suite
- Examples of data management policies
- Key topics to include in a research data policy suite
- Checklist for a Research Data Management Policy for Australian Universities / Institutions
contact@ardc.edu.au
Australian Research Data Commons
research data, research data management, institutional data policies, institutional data procedures, institutional research data management, RDM, Australia, Australian research institutions, ARDC, Australian Research Data Commons, training material
ARDC FAIR Data 101 self-guided
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the...
Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
ARDC FAIR Data 101 self-guided
https://zenodo.org/record/5094034
https://dresa.org.au/materials/ardc-fair-data-101-self-guided-bba41a59-8479-4f4f-b9ee-337b9eb294bf
FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles
The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.
The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub.
contact@ardc.edu.au
Stokes, Liz (orcid: 0000-0002-2973-5647)
Liffers, Matthias (orcid: 0000-0002-3639-2080)
Burton, Nichola (orcid: 0000-0003-4470-4846)
Martinez, Paula A. (orcid: 0000-0002-8990-1985)
Simons, Natasha (orcid: 0000-0003-0635-1998)
Russell, Keith (orcid: 0000-0001-5390-2719)
McCafferty, Siobhann (orcid: 0000-0002-2491-0995)
Ferrers, Richard (orcid: 0000-0002-2923-9889)
McEachern, Steve (orcid: 0000-0001-7848-4912)
Barlow, Melanie (orcid: 0000-0002-3956-5784)
Brady, Catherine (orcid: 0000-0002-7919-7592)
Brownlee, Rowan (orcid: 0000-0002-1955-1262)
Honeyman, Tom (orcid: 0000-0001-9448-4023)
Quiroga, Maria del Mar (orcid: 0000-0002-8943-2808)
training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management
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/record/4287864
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
Tang, Titus
data skills, training partnerships, data science, AI, training material
ARDC Research Software Rights Management Guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
Keywords: Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Software Rights Management Guide
https://zenodo.org/record/5003962
https://dresa.org.au/materials/ardc-research-software-rights-management-guide
How researchers may license their research software in order to share it with others.
It addresses the types of open‑source licences, and considerations you (as a researcher) should have in deciding which licence to adopt for sharing.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
Martinez, Paula Andrea (type: ProjectLeader)
Software citation, Software licensing, Software, research software, licence, License, training material
ARDC Research Data Rights Management Guide
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights...
Keywords: data, rights, management, licence, licensing, research, policy, guide, training material
ARDC Research Data Rights Management Guide
https://zenodo.org/record/5091580
https://dresa.org.au/materials/ardc-research-data-rights-management-guide-a5c12e9a-672b-4a42-b9d1-e1315d733aae
A practical guide for people and organisations working with data, about rights information and licences, and to raise awareness of the implications of not having licences on data.
Who is this for? This guide is primarily directed toward members of the research sector, particularly data rights holders users and suppliers. Some general reference is made to characteristics and management of government data, acknowledging that this kind of data can be input to the research process. Government readers should consult their agency’s data management policies, in addition to reading this guide.
contact@ardc.edu.au
Australian Research Data Commons
Laughlin, Greg (type: Editor)
Appleyard, Baden (type: Editor)
data, rights, management, licence, licensing, research, policy, guide, training material
How can software containers help your research?
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a...
Keywords: containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
How can software containers help your research?
https://zenodo.org/record/5091260
https://dresa.org.au/materials/how-can-software-containers-help-your-research-5bc99ea4-58dd-413d-a04b-230ff14873f1
This video explains software containers to a research audience. It is an introduction to why containers are beneficial for research. These benefits are standardisation, portability, reliability and reproducibility.
Software Containers in research are a solution that addresses the challenge of a replicable computational environment and supports reproducibility of research results. Understanding the concept of software containers enables researchers to better communicate their research needs with their colleagues and other researchers using and developing containers.
Watch the video here: https://www.youtube.com/watch?v=HelrQnm3v4g
If you want to share this video please use this:
Australian Research Data Commons, 2021. How can software containers help your research?. [video] Available at: https://www.youtube.com/watch?v=HelrQnm3v4g DOI: http://doi.org/10.5281/zenodo.5091260 [Accessed dd Month YYYY].
contact@ardc.edu.au
Australian Research Data Commons
Martinez, Paula Andrea (type: ProjectLeader)
Sam Muirhead (type: Producer)
The ARDC Communications Team (type: Editor)
The ARDC Skills and Workforce Development Team (type: ProjectMember)
The ARDC eResearch Infrastructure & Services (type: ProjectMember)
The ARDC Nectar Cloud Services team (type: ProjectMember)
containers, software, research, reproducibility, RSE, standard, agility, portable, reusable, code, application, reproducible, standardisation, package, system, cloud, server, version, reliability, program, collaborator, ARDC_AU, training material
