[{"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":341,"title":"Institutional Research Data Management Policies and Procedures","url":"https://staging.dresa.org.au/materials/institutional-research-data-management-policies-and-procedures-0ff03ac7-e4cd-4345-9c06-0ff79343d937.json","description":"This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.\nThe guide covers:\n- Why have a research data management policy or policies?\n- Possible approaches to constructing a research data policy suite\n- Examples of data management policies\n- Key topics to include in a research data policy suite\n- Checklist for a Research Data Management Policy for Australian Universities / Institutions","doi":"10.5281/zenodo.5784765","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":331,"title":"Persistent Identifiers for Research: a talk to the Australasian DMP Interest Group","url":"https://staging.dresa.org.au/materials/persistent-identifiers-for-research-a-talk-to-the-australasian-dmp-interest-group-d06fce47-ce80-460d-9b13-4e1aaf9ae646.json","description":"ARDC's Data Management Planning Interest Group hosted a meetup on persistent identifiers and data management planning infrastructure on 17 June 2021. These slides accompanied Siobhann McCafferty's talk on PIDs infrastructure, RAiD and the Instruments for Identifiers Australasia Interest Group (I4IOZ).","doi":"10.5281/zenodo.5002519","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":288,"title":"23 (research data) Things","url":"https://staging.dresa.org.au/materials/23-research-data-things-1f6396cc-d323-4d5b-a013-e34a8ffb25b2.json","description":"23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:\n\n* Getting started\n* Learn more\n* Challenge me\n\nAll resources used in the program are online and free to use and reuse under a Creative Commons Attribution 4.0 International licence. You could use all of them as a self-paced course, or choose components to integrate into your own course.\n\nThe 23 things are designed to build knowledge as the program progresses, so if you’re new to the world of research data management, we suggest you start with things 1-3 and then decide where you want to go from there.\n\nThese materials supported an international community-based training program delivered in 2016 by the Australian National Data Service.\n\nThis release migrates these materials to a GitHub repository for continued maintenance. Some updates were made to material that was outdated.\n\nWe welcome contributions and suggestions via GitHub Issue or Pull Request.","doi":"10.5281/zenodo.3955524","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":195,"title":"Persistent Identifiers for Research: a talk to the Australasian DMP Interest Group","url":"https://staging.dresa.org.au/materials/persistent-identifiers-for-research-a-talk-to-the-australasian-dmp-interest-group.json","description":"ARDC's Data Management Planning Interest Group hosted a meetup on persistent identifiers and data management planning infrastructure on 17 June 2021. These slides accompanied Siobhann McCafferty's talk on PIDs infrastructure, RAiD and the Instruments for Identifiers Australasia Interest Group (I4IOZ).","doi":"10.5281/zenodo.5002519","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":197,"title":"23 (research data) Things","url":"https://staging.dresa.org.au/materials/23-research-data-things.json","description":"23 (research data) things is a set of training materials exploring research data management. Each of the 23 things offers a variety of learning opportunities with activities at three levels of complexity:\n\n* Getting started\n* Learn more\n* Challenge me\n\nAll resources used in the program are online and free to use and reuse under a Creative Commons Attribution 4.0 International licence. You could use all of them as a self-paced course, or choose components to integrate into your own course.\n\nThe 23 things are designed to build knowledge as the program progresses, so if you’re new to the world of research data management, we suggest you start with things 1-3 and then decide where you want to go from there.\n\nThese materials supported an international community-based training program delivered in 2016 by the Australian National Data Service.\n\nThis release migrates these materials to a GitHub repository for continued maintenance. Some updates were made to material that was outdated.\n\nWe welcome contributions and suggestions via GitHub Issue or Pull Request.","doi":"10.5281/zenodo.3955524","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":203,"title":"Institutional Research Data Management Policies and Procedures","url":"https://staging.dresa.org.au/materials/institutional-research-data-management-policies-and-procedures.json","description":"This is a guide for those developing or updating policies and procedures related to the management of research data as an institutional asset.\nThe guide covers:\n- Why have a research data management policy or policies?\n- Possible approaches to constructing a research data policy suite\n- Examples of data management policies\n- Key topics to include in a research data policy suite\n- Checklist for a Research Data Management Policy for Australian Universities / Institutions","doi":"10.5281/zenodo.5784765","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":[]}]