1. Home
  2. Content providers
Register content provider
7 content providers found

Keywords: HASS  or High Performance Computing  or Research infrastructure  or characterisation  or social network research 

  • ACSPRI

    The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a...

    0 upcoming event (60 past event)
    ACSPRI https://dresa.org.au/content_providers/acspri The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia. Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses. /system/content_providers/images/000/000/021/original/ACSPRI_Logo_Horizonal.jpg?1661921514

  • The Australian Characterisation Commons at Scale (ACCS) Project

    ImagingTools: helping researchers find and access digital characterisation resources, including...

    0 upcoming event (15 past event)
    The Australian Characterisation Commons at Scale (ACCS) Project https://dresa.org.au/content_providers/the-australian-characterisation-commons-at-scale-accs-project ImagingTools: helping researchers find and access digital characterisation resources, including online environments, computing facilities, data, training and events. /system/content_providers/images/000/000/016/original/Minimal_Modern_Elegant_Background_Technology_Youtube_Thumbnail_%285%29.png?1671146621

  • Sonika Tyagi Lab

    Our expertise is in implementing Bioinformatics methods and machine learning models to solve...

    0 upcoming event (2 past event)
    Sonika Tyagi Lab https://dresa.org.au/content_providers/sonika-tyagi-lab Our expertise is in implementing Bioinformatics methods and machine learning models to solve biological research and clinical outcome questions. The two research focus areas for the group are: (1) Multimodal data integration for personalised medicine and (2) Integrative Genomics. /system/content_providers/images/000/000/027/original/DF0_7341.JPG?1693372847

  • VOSON Lab

    The Virtual Observatory for the Study of Online Networks (VOSON) Lab is located in the Research...

    1 training material
    VOSON Lab https://dresa.org.au/content_providers/voson-lab The Virtual Observatory for the Study of Online Networks (VOSON) Lab is located in the Research School of Social Sciences at The Australian National University. We are advancing the Social Science of the Internet through an innovative program of research, research tool development, teaching & research. Our funding is via the Australian Research Council (five grants to date), and a current Volkswagen Foundation (AI and Society of the Future Stream) grant led by Bielefeld University. VOSON tools have been publicly available since 2006. The current suite of VOSON R tools are available on CRAN and GitHub, with over 70K downloads to date, and are downloaded over 1K times per month. /system/content_providers/images/000/000/024/original/VOSONlab-logo.png?1664424886

  • Language Data Commons of Australia (LDaCA)

    Australia is a massively multilingual country, in one of the world’s most linguistically diverse...

    0 upcoming event (2 past event)
    Language Data Commons of Australia (LDaCA) https://dresa.org.au/content_providers/language-data-commons-of-australia-ldaca Australia is a massively multilingual country, in one of the world’s most linguistically diverse regions. Significant collections of this intangible cultural heritage have been amassed, including collections of Aboriginal and Torres Strait Islander languages, Australian Englishes, and regional languages of the Pacific, as well as collections important for cyber-security and for emergency communication. Language Data Commons of Australia (LDaCA) is integrating this existing work into a national research infrastructure while also securing at-risk collections and improving access to under-utilised collections. LDaCA is thus ensuring that these invaluable resources will be available for analysis and reuse in the future, and that they will be managed in a culturally, ethically and legally appropriate manner guided by FAIR and CARE principles. The Language Data Commons of Australia (LDaCA) project receives investment from the Australian Research Data Commons (ARDC) through its HASS and Indigenous Research Data Commons program. The ARDC is funded by the National Collaborative Research Infrastructure Strategy (NCRIS). /system/content_providers/images/000/000/041/original/logo.jpg?1724905018

  • Astronomy Data And Computing Services (ADACS)

    Our Vision is to provide astronomy-focused training, support and expertise to allow astronomers...

    Astronomy Data And Computing Services (ADACS) https://dresa.org.au/content_providers/astronomy-data-and-computing-services-adacs Our Vision is to provide astronomy-focused training, support and expertise to allow astronomers to maximise the scientific return from data and computing infrastructure. ADACS is delivered jointly by Swinburne University of Technology, Curtin University, and Macquarie University. ADACS is funded under Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) Program via Astronomy Australia Ltd (AAL). /system/content_providers/images/000/000/033/original/ADACSLogo.png?1708671870

  • Trove Data Guide

    The Trove Data Guide explores the different types of data available from Trove – what it is, how...

    5 training material
    Trove Data Guide https://dresa.org.au/content_providers/trove-data-guide The Trove Data Guide explores the different types of data available from Trove – what it is, how you can access it, and what you can do with it. It aims to give researchers a critical understanding of Trove data, both its limits and its possibilities. /system/content_providers/images/000/000/039/original/trove-words-1685171984-1000-1000.jpg?1720419415