[{"id":339,"title":"ARDC Skills Landscape","url":"https://staging.dresa.org.au/materials/ardc-skills-landscape-dd7401f0-702a-4813-b651-28d7cedf5c40.json","description":"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.  \n\nIn 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:\n- Siloed skills initiatives, and finding ways to build partnerships and improve collaboration\n- Skills deficits, and working to address the gaps in data skills\n- Areas of skills development for investment by skills stakeholders like universities, research organisations, skills and training service providers, ARDC, etc.\n\n ","doi":"10.5281/zenodo.4287743","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":333,"title":"Research Data Governance","url":"https://staging.dresa.org.au/materials/research-data-governance-1b84a9f4-8c7f-40c2-9658-dd2ee4b50d9d.json","description":"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.\n\nIf you want to share the video please use this:\n\nAustralian 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].","doi":"10.5281/zenodo.5044585","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":313,"title":"ARDC FAIR Data 101 self-guided","url":"https://staging.dresa.org.au/materials/ardc-fair-data-101-self-guided-16160cf9-ace7-4583-91aa-87e1022c82e0.json","description":"FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles\n\nThe 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.\n\nThe 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.","doi":"10.5281/zenodo.5094034","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":309,"title":"Locking the front door without leaving the windows open: positioning authentication technologies within the \"Five Safes\" framework for effective use of sensitive research data","url":"https://staging.dresa.org.au/materials/locking-the-front-door-without-leaving-the-windows-open-positioning-authentication-technologies-within-the-five-safes-framework-for-effective-use-of-sensitive-research-data-899f3ee9-ef0a-43d5-9c92-c13a89080358.json","description":"This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments.  This project seeks to position choices around authentication technologies within the Five Safes framework for research use of sensitive data, proposed in 2003 by Felix Ritchie of the UK Office of National Statistics:\n• Safe Projects: is the proposed research use of the data appropriate? \n• Safe People: can the users be trusted to use the data in an appropriate manner? \n• Safe Settings: does the access facility limit unauthorised use?\n• Safe Data: is there a disclosure risk in the data itself?\n• Safe Outputs: are the research results non-disclosive i.e. they do not compromise privacy or breach confidentiality?","doi":"10.5281/zenodo.3547980","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":289,"title":"ARDC Your first step to FAIR","url":"https://staging.dresa.org.au/materials/ardc-your-first-step-to-fair-75544c75-7b65-49dc-b3fe-dab56421f892.json","description":"This workshop gives a brief overview of the FAIR principles, including a method to make a one-file dataset FAIR.","doi":"10.5281/zenodo.5009206","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":295,"title":"ARDC Training Materials Metadata Checklist v1.1","url":"https://staging.dresa.org.au/materials/ardc-training-materials-metadata-checklist-v1-1.json","description":"The ARDC Training Materials Metadata Checklist aims to support learning designers, training materials creators, trainers and national training infrastructure providers to capture key information and apply appropriate mechanisms to enable sharing and reuse of their training materials","doi":"10.5281/zenodo.5276003","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":173,"title":"Research Data Governance","url":"https://staging.dresa.org.au/materials/research-data-governance.json","description":"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.\n\nIf you want to share the video please use this:\n\nAustralian 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].","doi":"10.5281/zenodo.5044585","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":188,"title":"ARDC Skills Landscape","url":"https://staging.dresa.org.au/materials/ardc-skills-landscape.json","description":"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.  \n\nIn 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:\n- Siloed skills initiatives, and finding ways to build partnerships and improve collaboration\n- Skills deficits, and working to address the gaps in data skills\n- Areas of skills development for investment by skills stakeholders like universities, research organisations, skills and training service providers, ARDC, etc.\n\n ","doi":"10.5281/zenodo.4287743","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":191,"title":"Locking the front door without leaving the windows open: positioning authentication technologies within the \"Five Safes\" framework for effective use of sensitive research data","url":"https://staging.dresa.org.au/materials/locking-the-front-door-without-leaving-the-windows-open-positioning-authentication-technologies-within-the-five-safes-framework-for-effective-use-of-sensitive-research-data.json","description":"This project explores the options for access to sensitive data sets; what authentication technologies (e.g. multi-factor authentication) are needed to access sensitive data and secure compute environments.  This project seeks to position choices around authentication technologies within the Five Safes framework for research use of sensitive data, proposed in 2003 by Felix Ritchie of the UK Office of National Statistics:\n• Safe Projects: is the proposed research use of the data appropriate? \n• Safe People: can the users be trusted to use the data in an appropriate manner? \n• Safe Settings: does the access facility limit unauthorised use?\n• Safe Data: is there a disclosure risk in the data itself?\n• Safe Outputs: are the research results non-disclosive i.e. they do not compromise privacy or breach confidentiality?","doi":"10.5281/zenodo.3547980","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":162,"title":"ARDC Your first step to FAIR","url":"https://staging.dresa.org.au/materials/ardc-your-first-step-to-fair.json","description":"This workshop gives a brief overview of the FAIR principles, including a method to make a one-file dataset FAIR.","doi":"10.5281/zenodo.5009206","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":165,"title":"ARDC FAIR Data 101 self-guided","url":"https://staging.dresa.org.au/materials/ardc-fair-data-101-self-guided.json","description":"FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles\n\nThe 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.\n\nThe 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.","doi":"10.5281/zenodo.5094034","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]}]