[{"id":335,"title":"Data Fluency: a community of practice supporting a digitally skilled workforce","url":"https://staging.dresa.org.au/materials/data-fluency-a-community-of-practice-supporting-a-digitally-skilled-workforce-5910b4fe-00a6-44f2-a94f-b8d2b17dec62.json","description":"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.\nThe 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.","doi":"10.5281/zenodo.4287752","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":334,"title":"European Open Science Cloud (EOSC) skills \u0026 training working group","url":"https://staging.dresa.org.au/materials/european-open-science-cloud-eosc-skills-training-working-group-ebd60580-5cd1-4029-8f79-ea0568dadc7f.json","description":"European Open Science Cloud (EOSC) skills \u0026amp; training working group","doi":"10.5281/zenodo.4289348","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":336,"title":"OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)","url":"https://staging.dresa.org.au/materials/oecd-report-building-digital-workforce-capacity-and-skills-for-data-intensive-science-2020-0f3cab8c-8028-4bdc-8bb0-ed2cbc70948c.json","description":" \n\nAs 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.\n\nThe presentation highlights:\n\n- 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\n\n- The ongoing need for a digital skilled workforce for data-intensive science\n\n- Five focus areas in the report include:\n\n1. Enablers for digital workforce capacity development\n\n2. Defining needs: digital skills, frameworks and roles\n\n3. Provision of training\n\n4. Community development\n\n5. Career paths and reward structures - Recommendations for actors incl. universities, national or regional governments","doi":"10.5281/zenodo.4289356","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":343,"title":"ARDC 2023 Skills Summit Lightning Talks (Day 1 - February 9, 2023)","url":"https://staging.dresa.org.au/materials/ardc-2023-skills-summit-lightning-talks-day-1-february-9-2023.json","description":"Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 1 - February 9th, 2023)\nDr Pablo Franco - Assessing the effectiveness of training: Teaching digital skills to researchers\nAidan Wilson - Scaling training operations \u0026amp; succession planning\nDr Paula Martinez - Building community\nDr Mark Crowe - Bringing training to research communities - ResBaz\nLiz Stokes - The Carpentries Partnership\n\nThese 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.","doi":"10.5281/zenodo.7710856","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":344,"title":"ARDC 2023 Skills Summit - Frameworks Panel Discussion (Day 2 - February 10, 2023)","url":"https://staging.dresa.org.au/materials/ardc-2023-skills-summit-frameworks-panel-discussion-day-2-february-10-2023.json","description":"Presentations to the ARDC Skills Summit 2023 (Panel Talks Day 2 - February 10th, 2023)\n\n\nDr Peter Derbyshire - Unpacking the ATSE report - Our STEM skilled future and the need for a national skills taxonomy\nAnthony Beitz - Applying Skills Framework for the Information Age (SFIA) within DSTG\nKate Morrison - A national skills taxonomy - Australian Skills Classification (ASC)\nKathryn Unsworth - ARDC Digital Research Capabilities \u0026amp; Skills Framework\nPeter Embelton - Enhancing skills uplift for researchers through the alignment and implementation of skills frameworks\n\n\nThese 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.","doi":"10.5281/zenodo.7711287","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":323,"title":"Setting The Scene","url":"https://staging.dresa.org.au/materials/setting-the-scene.json","description":"Opening Address for the ARDC Skills Summit 2023\n\nThis 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.","doi":"10.5281/zenodo.7710621","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":326,"title":"Successful data training stories from NCI","url":"https://staging.dresa.org.au/materials/successful-data-training-stories-from-nci-6421d59c-b3ed-444f-8123-83186e58391b.json","description":"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.\nAn 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.\nFor 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.","doi":"10.5281/zenodo.4287750","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":328,"title":"Accelerating skills development in Data science and AI at scale","url":"https://staging.dresa.org.au/materials/accelerating-skills-development-in-data-science-and-ai-at-scale-4cbed0c1-843b-4d30-af59-9bf6e098a810.json","description":"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.\n\nThe talk will also cover our approach as outlined below\n•        Combined survey of gaps in skills and trainings for Data science and AI\n•        Provide seats to partners\n•        Share associate instructors/helpers/volunteers\n•        Develop combined training materials\n•        Publish a repository of open source trainings\n•        Train the trainer activities\n•        Establish a network of volunteers to deliver trainings at their local regions\n\nIndustry 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.\n\nFinally, 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.","doi":"10.5281/zenodo.4287746","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":329,"title":"Astronomy Data And Computing Services - Upskilling the Australian astronomy community","url":"https://staging.dresa.org.au/materials/astronomy-data-and-computing-services-upskilling-the-australian-astronomy-community-aa4f8d82-6727-4b38-91a8-e124077c44ad.json","description":"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 \u0026amp; computing infrastructure.\n\nDuring 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.\n\nCome 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. ","doi":"10.5281/zenodo.4287748","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":330,"title":"Professionalizing Training - Origin Stories for the Modern Researcher","url":"https://staging.dresa.org.au/materials/professionalizing-training-origin-stories-for-the-modern-researcher.json","description":"Keynote Presentation for the ARDC Skills Summit 2023\n\nThis 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.","doi":"10.5281/zenodo.7710785","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":319,"title":"Role profiles for the Bureau's Stewardship Model","url":"https://staging.dresa.org.au/materials/role-profiles-for-the-bureau-s-stewardship-model-a93be8ba-4ca4-4d5b-8eef-d853c77c42f8.json","description":"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.\n\nYou can watch the YouTube video here: https://youtu.be/RLf6B-NIffU","doi":"10.5281/zenodo.5711869","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":304,"title":"Skills initiatives at TERN","url":"https://staging.dresa.org.au/materials/skills-initiatives-at-tern-3ea8cb7f-67a4-4d98-8346-3a94970f4d91.json","description":"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.\n\nYou can watch the video on YouTube here: https://youtu.be/mgGuKUGCu2g","doi":"10.5281/zenodo.5711879","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":302,"title":"ML4AU: Trainings, trainers and building an ML community","url":"https://staging.dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community-b374995b-34c3-49bc-88b5-e9c48f147d22.json","description":"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.\n\nYou can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg","doi":"10.5281/zenodo.5711863","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":303,"title":"National skills ecosystem - call to action","url":"https://staging.dresa.org.au/materials/national-skills-ecosystem-call-to-action-24b5bbc5-ee23-48b5-a56e-6eb63b0b2eb3.json","description":"In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.\n\n- Skilled trainers / facilitators\n\n- National training registry\n\n- National training event calendar\n\n- Jointly developed training\n\n- Research support professionals: career/progression","doi":"10.5281/zenodo.4289335","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":307,"title":"eResearch Services and Capabilities","url":"https://staging.dresa.org.au/materials/eresearch-services-and-capabilities-fcd2dd6f-4db6-4853-9994-33cefcb19988.json","description":"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'.\n\nThe 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.\n\nThis consultation aims to elicit feedback, from the broader eResearch community, on the following questions:\n\n● Are there other aspects of eResearch Services? What falls outside the scope of the service and capabilities descriptions?\n\n● 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?\n\n● Is there a distinction between general and specialised capabilities? e.g. Are there cross service eResearch capabilities.\n\nThis presentation will be of interest primarily to Decision-makers and managers and Digitally focussed research support professionals.","doi":"10.5281/zenodo.4287845","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":294,"title":"Skills training \u0026 materials - developing sharing guidelines and agreements","url":"https://staging.dresa.org.au/materials/skills-training-materials-developing-sharing-guidelines-and-agreements-6b9b2154-dc05-4264-a4ea-8dd20490c903.json","description":"Anyone who has developed training content - specifically hands-on, short format, data science training - will know that it is expensive and time consuming. As a rule of thumb, one can expect to spend 15-20 hours of development time per hour of delivery time.\n\nEven once the main work is done, there are still ongoing maintenance demands, from correcting the inevitable typos and adapting to software version updates, to major rewrites as best practice techniques evolve. Few Australians training organisations have a funding mandate for developing training material for general use.\n\nInstead most of us build training for our own communities in response to demand from those communities, allocating our limited resources to the areas of perceived highest demand. Notwithstanding this local focus, most training organisations operate in similar research environments with similar community demands, so there are real opportunities for benefit from collaboration between those organisations. In this session we will discuss how such collaboration could occur and whether a standardised national agreement around sharing of training material is an achievable outcome.\n\nThis session will not discuss co-delivery opportunities, institution-specific content such as HPC training and data management, or consolidation of existing similar workshops into a single course. These are important topics, but we don’t have time to do them justice today.","doi":"10.5281/zenodo.4287848","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":207,"title":"National skills ecosystem - call to action","url":"https://staging.dresa.org.au/materials/national-skills-ecosystem-call-to-action.json","description":"In this Community Action session working groups will be formed based on the challenges/opportunities that were prioritised in Community Action session #4.\n\n- Skilled trainers / facilitators\n\n- National training registry\n\n- National training event calendar\n\n- Jointly developed training\n\n- Research support professionals: career/progression","doi":"10.5281/zenodo.4289335","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":175,"title":"ML4AU: Trainings, trainers and building an ML community","url":"https://staging.dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community.json","description":"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.\n\nYou can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg","doi":"10.5281/zenodo.5711863","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":181,"title":"Successful data training stories from NCI","url":"https://staging.dresa.org.au/materials/successful-data-training-stories-from-nci.json","description":"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.\nAn 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.\nFor 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.","doi":"10.5281/zenodo.4287750","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":182,"title":"Data Fluency: a community of practice supporting a digitally skilled workforce","url":"https://staging.dresa.org.au/materials/data-fluency-a-community-of-practice-supporting-a-digitally-skilled-workforce.json","description":"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.\nThe 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.","doi":"10.5281/zenodo.4287752","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":183,"title":"eResearch Services and Capabilities","url":"https://staging.dresa.org.au/materials/eresearch-services-and-capabilities.json","description":"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'.\n\nThe 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.\n\nThis consultation aims to elicit feedback, from the broader eResearch community, on the following questions:\n\n● Are there other aspects of eResearch Services? What falls outside the scope of the service and capabilities descriptions?\n\n● 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?\n\n● Is there a distinction between general and specialised capabilities? e.g. Are there cross service eResearch capabilities.\n\nThis presentation will be of interest primarily to Decision-makers and managers and Digitally focussed research support professionals.","doi":"10.5281/zenodo.4287845","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":184,"title":"Accelerating skills development in Data science and AI at scale","url":"https://staging.dresa.org.au/materials/accelerating-skills-development-in-data-science-and-ai-at-scale.json","description":"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.\n\nThe talk will also cover our approach as outlined below\n•        Combined survey of gaps in skills and trainings for Data science and AI\n•        Provide seats to partners\n•        Share associate instructors/helpers/volunteers\n•        Develop combined training materials\n•        Publish a repository of open source trainings\n•        Train the trainer activities\n•        Establish a network of volunteers to deliver trainings at their local regions\n\nIndustry 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.\n\nFinally, 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.","doi":"10.5281/zenodo.4287746","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":193,"title":"European Open Science Cloud (EOSC) skills \u0026 training working group","url":"https://staging.dresa.org.au/materials/european-open-science-cloud-eosc-skills-training-working-group.json","description":"European Open Science Cloud (EOSC) skills \u0026amp; training working group","doi":"10.5281/zenodo.4289348","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":200,"title":"Astronomy Data And Computing Services - Upskilling the Australian astronomy community","url":"https://staging.dresa.org.au/materials/astronomy-data-and-computing-services-upskilling-the-australian-astronomy-community.json","description":"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 \u0026amp; computing infrastructure.\n\nDuring 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.\n\nCome 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. ","doi":"10.5281/zenodo.4287748","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":202,"title":"Skills initiatives at TERN","url":"https://staging.dresa.org.au/materials/skills-initiatives-at-tern.json","description":"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.\n\nYou can watch the video on YouTube here: https://youtu.be/mgGuKUGCu2g","doi":"10.5281/zenodo.5711879","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":204,"title":"Role profiles for the Bureau's Stewardship Model","url":"https://staging.dresa.org.au/materials/role-profiles-for-the-bureau-s-stewardship-model.json","description":"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.\n\nYou can watch the YouTube video here: https://youtu.be/RLf6B-NIffU","doi":"10.5281/zenodo.5711869","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":167,"title":"OECD Report - Building digital workforce capacity and skills for data-intensive science (2020)","url":"https://staging.dresa.org.au/materials/oecd-report-building-digital-workforce-capacity-and-skills-for-data-intensive-science-2020.json","description":" \n\nAs 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.\n\nThe presentation highlights:\n\n- 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\n\n- The ongoing need for a digital skilled workforce for data-intensive science\n\n- Five focus areas in the report include:\n\n1. Enablers for digital workforce capacity development\n\n2. Defining needs: digital skills, frameworks and roles\n\n3. Provision of training\n\n4. Community development\n\n5. Career paths and reward structures - Recommendations for actors incl. universities, national or regional governments","doi":"10.5281/zenodo.4289356","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":166,"title":"Skills training \u0026 materials - developing sharing guidelines and agreements","url":"https://staging.dresa.org.au/materials/skills-training-materials-developing-sharing-guidelines-and-agreements.json","description":"Anyone who has developed training content - specifically hands-on, short format, data science training - will know that it is expensive and time consuming. As a rule of thumb, one can expect to spend 15-20 hours of development time per hour of delivery time.\n\nEven once the main work is done, there are still ongoing maintenance demands, from correcting the inevitable typos and adapting to software version updates, to major rewrites as best practice techniques evolve. Few Australians training organisations have a funding mandate for developing training material for general use.\n\nInstead most of us build training for our own communities in response to demand from those communities, allocating our limited resources to the areas of perceived highest demand. Notwithstanding this local focus, most training organisations operate in similar research environments with similar community demands, so there are real opportunities for benefit from collaboration between those organisations. In this session we will discuss how such collaboration could occur and whether a standardised national agreement around sharing of training material is an achievable outcome.\n\nThis session will not discuss co-delivery opportunities, institution-specific content such as HPC training and data management, or consolidation of existing similar workshops into a single course. These are important topics, but we don’t have time to do them justice today.","doi":"10.5281/zenodo.4287848","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]}]