 Hi, my name is Paula Andrea Martinez. I work for the Australian Research Data Commons. This lightning talk is to share with you the ARDC training resources that were specifically developed for sharing and reuse. During a period of three months, I worked part-time for the ARDC outreach team as a consultant. I was responsible for the work package, targeted to co-development of national skills materials with a strong emphasis on sharing and reuse. To accommodate for a short timeline, we define the scope to six topics. I will describe this in details. What I want to share here is the variety of presentations and target audiences for each of the topics of interest. All of these resources are now available with attribution license CC by 4.0. The first two topics developed into short explainer videos. These were projects I led in collaboration with ARDC staff and external service providers. Containers in research. Our motivation was to create an introductory video to explain software containers to non-technical people who are doing research by exemplifying real-life research focus examples. Today, this video has more than 700 views and the prospect of being translated into different languages. The research data governance show video highlights the key characteristics of good research data governance. It was targeted to project leads from ARDC co-investment projects. Similarly, we focus on providing real-life examples and solutions. This video has more than 250 views. The next two topics showcase existing resources previously developed by ARDC staff. I led reconstructing, reviewing and rebranding of those. Software licensing and citation resources were built for researchers who code and research software engineers. This work was built in resources created by all the ARDC staff. The combined views of these resources is more than 230. We created one infographic, a slide deck and two very important management guides, one for data and one for software. We also updated resources of these two ARDC pages, which are a collection of internal and external information about working with research software and software citation. Some of you might have participated from the ARDC fair data one-on-one. What I did is reorganize the website training materials of the fair data one-on-one into self-guided materials. We received a positive feedback of people going through the materials and the resource now has more than 300 views. Documentation list. The two next topics were developed into documentations and shaped by discussions with targeted communities for validation and reuse. The first one is a checklist for training materials targeted to people developing training materials. It has more than 165 views and it's been sharing the fair data forum, which is a forum for fair competence. The last training resource is the machine learning list of resources. This is a local and international communities and training materials about machine learning. This has been shared with the community of practice of machine learning for Australia. And you're welcome to ask for it. We have met three objectives. Use the fair principles to promote and facilitate development. Work with training materials for reuse and customizing local needs and we engage ARDC staff in co-creation editing and review of these materials. Please connect with us. Catherine Answorth and myself are welcome to answer your questions. You can get in touch with ARDC via these URLs. Thank you very much for your attention.