[{"id":350,"title":"ARDC Digital Research Skills Strategy Tool","url":"https://staging.dresa.org.au/materials/ardc-digital-research-skills-strategy-tool.json","description":"This is a decision tool to help you determine components of a digital research skills strategy.\nWhen you create a skills strategy, you need to work out:\n\nWhich people\nNeed which skills\nAt what level\nDelivered how\n\nThis tool helps you:\n\nCreate typical user roles that outline groups who need distinct clusters of skills;\nDescribe training preferences and pain points for each role;\nIdentify which skills in the ARDC Digital Research Capabilities and Skills Framework each role needs;\nNominate the level of competency each role requires; and\nMap out the training approach for each skill.\n\nThe Skilled Workforce Development Team of the Australian Research Data Commons developed this tool to support the ARDC mission to accelerate Australian research and innovation.","doi":"10.5281/zenodo.16892111","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":347,"title":"ARDC Digital Research Capabilities and Skills Framework: The Framework and Its Components","url":"https://staging.dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework-the-framework-and-its-components.json","description":"The ARDC's Digital Research Capabilities and Skills Framework, released in 2022, provides a structure for training programs to develop essential and advanced digital research skills. It aims to help researchers and professionals identify the necessary skills they need to leverage emerging opportunities in data management, data analysis, data linking, AI, and machine learning. The framework aligns with technological advancements and encourages ongoing discussion and contributions to evolve the coverage of digital research skills. \nThe framework focuses on digital research skills, excluding broader professional skills, and is intended for a wide range of stakeholders. It provides a structured approach for project teams and organisations to develop and enhance their digital research skills through six main components: a skills taxonomy, a skills glossary, a list of generalised roles, roles and skills-related profiles, learning paths, and a skills and roles matrix. The skills taxonomy classifies digital research skills into four capability families: Governance, Data, Software, and Digital Research Infrastructure Management. It provides a standard terminology for identifying and describing these skills.","doi":"10.5281/zenodo.14188836","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":324,"title":"ARDC digital research capabilities and skills framework","url":"https://staging.dresa.org.au/materials/ardc-digital-research-capabilities-and-skills-framework.json","description":"This informational flyer outlines the value of skills frameworks and describes at a high level the various elements of the ARDC's Capabilities and Skills Framework.\n\n\n\tCapabilities and Skills Landscape\n\tGlossary - Framework terminology\n\tData and Digital Research roles\n\tSkills/Role profiles\n\tLearning paths\n\tSkills/Data roles matrix","doi":"10.5281/zenodo.6558642","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]}]