Sensitive data is increasingly common in research, including in fields as disparate as population health, biosecurity, food-security and agriculture, environmental science and biodiversity, defence, humanities, Indigenous studies, and social science. All involve the production, use, analysis, and management of sensitive data. To unlock the full potential of data sets in such sectors, researchers need secure and trusted digital environments allowing them to hold sensitive data they produce or receive from third parties (e.g., government and industry) and/or collaborate at scale on sensitive data whilst always ensuring the security of that data.
QCIF, in conjunction with ARDC and The University of Queensland, has developed a purpose-built trusted research environment named KeyPoint.
This session will explore the governance model of KeyPoint, how we ensure strict project separation at the desktop, and finishes with a live demonstration of the platform.
" - title: Data capture and form design using REDCap themes: [] @@ -374,12 +374,26 @@ hidden: false description: "R Shiny is a popular R package that allows you to transform complex analytics into powerful, user-friendly interactive visualisation tools.Please join us to raise awareness across Queensland of the community of people who work on Research Software, the Research Software Engineer Australia New Zealand (RSE-AUNZ) community, and to understand the needs of the community.
+This BoF would be of interest to people who:
+It would also be useful to those who manage RSEs or who struggle to recruit or maintain RSEs within their project lifecycles, and those who would like to help sustain this community.
+Objectives would be to solicit feedback and discussion about the following topics :
+Peter is currently employed as Head of Data and Software Solutions at the Queensland Cyber Infrastructure Foundation (QCIF), which provides eResearch infrastructure and services for Queensland research institutions and contributes to the National Research Infrastructure.
In this role, Peter is responsible for leading a team that delivers innovative, high quality, and time driven results for a wide variety of research programs from within universities, research institutes, and commercial companies. The team has expertise in workflows, specialised computing, data capture and management, and working with sensitive data.
Prior to his role with QCIF, Peter led the Microsystems research within CSIRO’s Cybernetics research Group. During his time at CSIRO, Peter also led projects such as Bees with Backpacks, Optimising Pollination, Smart Hives, Probing Biosystems – Implantables, Brain Implants, and Smart Helmets for optimising the timing of Cranioplasty.
Peter is also a member of the RSE-AUNZ steering committee which aims to build awareness of the diverse Research Software Engineer (RSE) roles, to connect volunteers in the RSE domain, and to help build practical solutions for the RSE Community.
Peter brings his experience in team/capability management, project management, and customer focused collaboration and relationships. A people focused leader with broad knowledge across multiple domains with a focus on cutting edge development and applications. An excellent technology communicator to the public, academia, government, grant bodies, and industrial stakeholders.
He also has more than 20 years of software engineering experience across multiple domains, including Digital Agriculture, Energy, Food and Nutritional Sciences, Health, Marine Sensing, Robotics, and Visual Analytics, in research and innovation environments.
" thumbnailUrl: rockstar: false ribbon: - {abbr: "", title: "", url: ""} - {abbr: "", title: "", url: ""} - social: https://www.qcif.edu.au/qcif-people/peter-marendy + social: https://www.linkedin.com/in/peter-marendy-64b4591/ - id: 229 name: Abhimanyu (Raj)