[{"id":346,"title":"Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce","url":"https://staging.dresa.org.au/materials/ten-simple-rules-for-researchers-upskilling-for-a-rapidly-evolving-workforce.json","description":"The following recommendations were inspired by the Australian Research Data Commons (ARDC) Digital Research Skills Summit 2023, that brought together Researchers, Learning Designers, Skills Trainers, and Librarians in productive discussions on how to run effective researcher skills training. These rules outline how to think about skills learning for researchers, plan training sessions, and efficiently maximize learning. We offer recommendations on how to design and develop learner-centered training programs (Rules 1 and 2), foster outreach, and connect with trainer communities (Rules 3 and 4). We then provide tips to manage and optimize training (Rules 5, 6, and 7), and conclude with valuable insights on preparing for uncertainty and the importance of post-training operations and continued learning (Rules 8, 9, and 10).","doi":"10.5281/zenodo.13989494","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":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":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":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":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":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":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":[]}]