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Authors: Barlow, Melanie (orcid: 000...  or Brady, Catherine (orcid: 00...  or Gouda-Vossos, Amany (orcid:... 

Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce

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....

Keywords: Training, Training Material, Short Format Training, Digital Skills, Researcher Training, Learning

Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce https://dresa.org.au/materials/ten-simple-rules-for-researchers-upskilling-for-a-rapidly-evolving-workforce 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). contact@ardc.edu.au Training, Training Material, Short Format Training, Digital Skills, Researcher Training, Learning
Secondary use of clinical trials data in health research: A Practical Guide

This document presents a theoretical framework for the use of clinical trials and other health data for secondary research purposes, which was derived from research papers, consultation with stakeholders and the research community.  Four overall scenarios for data reuse were identified; scenario...

Keywords: Secondary Data Use, Clinical Trials, Training Material, HeSANDA, Health Data Australia, HDA

Secondary use of clinical trials data in health research: A Practical Guide https://dresa.org.au/materials/secondary-use-of-clinical-trials-data-in-health-research-a-practical-guide This document presents a theoretical framework for the use of clinical trials and other health data for secondary research purposes, which was derived from research papers, consultation with stakeholders and the research community.  Four overall scenarios for data reuse were identified; scenario 1: evidence synthesis, scenario 2: secondary analyses, scenario 3: reproducibility, replication and validation, and scenario 4: education and methods development. contact@ardc.edu.au Secondary Data Use, Clinical Trials, Training Material, HeSANDA, Health Data Australia, HDA
23 (research data) Things

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:

  • Getting started
  • Learn more
  • Challenge me

All resources used in the program are online...

Keywords: research data management, training material

23 (research data) Things https://dresa.org.au/materials/23-research-data-things-793872d2-c221-4cd6-91be-11a313c74b78 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: * Getting started * Learn more * Challenge me All 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. The 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. These materials supported an international community-based training program delivered in 2016 by the Australian National Data Service. This release migrates these materials to a GitHub repository for continued maintenance. Some updates were made to material that was outdated. We welcome contributions and suggestions via GitHub Issue or Pull Request. contact@ardc.edu.au research data management, training material
ARDC FAIR Data 101 self-guided

FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles

The 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.

The course structure was based on 'FAIR Data in the...

Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management

ARDC FAIR Data 101 self-guided https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097 FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles The 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. The 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. contact@ardc.edu.au training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management