[{"id":396,"title":"Secondary Use of Clinical Trials Data in Health Research: A Practical Guide","url":"https://dresa.org.au/materials/secondary-use-of-clinical-trials-data-in-health-research-a-practical-guide-13bd896d-0f4d-4488-b341-59571c434b96.json","description":"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.  \nFour 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.","doi":"10.5281/zenodo.14984904","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]},{"id":380,"title":"Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce","url":"https://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":369,"title":"Secondary use of clinical trials data in health research: A Practical Guide","url":"https://dresa.org.au/materials/secondary-use-of-clinical-trials-data-in-health-research-a-practical-guide.json","description":"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.","doi":"10.5281/zenodo.12768050","remote_updated_date":null,"remote_created_date":null,"scientific_topics":[],"operations":[]}]