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ARDC Leadership Series: Sharing Sensitive and Identifiable Human Data
ARDC Leadership Series: Sharing Sensitive and Identifiable Human Data
Tue, 3 May 2022 1:30 pm - 3:00 pm
see eventbrite invitation
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Introducing the Institutional Underpinnings Draft Research Data Management Framework - A webinar for national research infrastructure and service providers
Introducing the Institutional Underpinnings Draft Research Data Management Framework - A webinar for national research infrastructure and service providers
Wed, 4 May 2022 2:00 pm - 3:00 pm
Institutional Underpinnings is a collaborative project between 25 of Australia’s universities to develop a shared approach to university research data management in the form of a nationally-agreed Framework. The program aims to increase Australian universities’ capability in research data management and encourage collective problem-solving and alignment across the sector.
The draft Research Data Management Framework is now open for consultation. The Framework was developed by the 25 participating universities, with more than 90 experts contributing to working groups to identify and develop the key elements that are included. The Australian research community is invited to review the Framework and provide feedback, which will help inform the final version.
This webinar is open to all, but is intended for those who work in NCRIS capabilities and other national research organisations and platforms. We will describe the development of the draft Framework and talk about the kind of feedback that we are seeking from those who work with Australia’s universities in the production and management of research data.
We are also holding three other webinars: one intended for universities, one intended for non-university research institutions, and one for other members of the sector.
Register Here
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Australian/New Zealand Data Quality Interest Group
Australian/New Zealand Data Quality Interest Group
Thu, 5 May 2022 12:00 pm - 1:00 pm
https://monash.zoom.us/j/86363404671?pwd=TDZabjNuTlI5U3UrenRpOERrazY1QT09
The Australian/New Zealand Data Quality Interest Group provides a forum for researchers, data providers, repository operators and data consumers to discuss challenges and strategies for meeting data quality standards and procedures.
The group meet monthly on the first Thursday, 12pm AET.
See more details
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DR CoP Meeting
DR CoP Meeting
Thu, 5 May 2022 2:00 pm - 3:00 pm
See https://sites.google.com/ardc.edu.au/dr-cop for more information
The Australian Data Repositories Community of Practice (DR CoP) is a space for those within the breadth of research and research infrastructure organisations with an interest in Data Repositories to come together and discuss issues and improve on FAIR practices and services.
See more details
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Introducing the Institutional Underpinnings Draft Research Data Management Framework - A webinar for all audiences
Introducing the Institutional Underpinnings Draft Research Data Management Framework - A webinar for all audiences
Wed, 11 May 2022 2:00 pm - 3:00 pm
Institutional Underpinnings is a collaborative project between 25 of Australia’s universities to develop a shared approach to university research data management in the form of a nationally-agreed Framework. The program aims to increase Australian universities’ capability in research data management and encourage collective problem-solving and alignment across the sector.
The draft Research Data Management Framework is now open for consultation. The Framework was developed by the 25 participating universities, with more than 90 experts contributing to working groups to identify and develop the key elements that are included. The Australian research community is invited to review the Framework and provide feedback, which will help inform the final version.
This webinar is open to all, and is intended for those who did not attend the first three webinars. We will describe the development of the draft Framework and talk about the kind of feedback that we are seeking from the sector.
We are also holding three other webinars: one intended for universities, one intended for non-university research institutions, and one intended for national research infrastructure and service providers.
Register Here
See more details
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Introduction to Nectar Cloud Training
Introduction to Nectar Cloud Training
Wed, 11 May 2022 2:00 pm - 4:00 pm
See more details
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Introduction to Nectar Cloud Training
Introduction to Nectar Cloud Training
Fri, 20 May 2022 1:00 pm - 3:00 pm
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Tech Talk 14: Implementing the OHDSI OMOP Common Data Model for Medical Research
Tech Talk 14: Implementing the OHDSI OMOP Common Data Model for Medical Research
Thu, 26 May 2022 12:30 pm - 1:15 pm
Title: Implementing the OHDSI OMOP Common Data Model for Medical Research
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Subscribe to get access to the Zoom meeting. This is the ARDC Public invite.
More to follow at: http://tiny.cc/techtalk_2020
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Abstract: The Common Data Model allows data consolidation of Electronic Medical Records (EMR) from diverse hospital and GP sources, enhancing research breadth. The Observational Health Data Science and Informatics, Observational Medical Outcomes Partnership common data model (OHDSI OMOP or OMOP) has a very large international community working towards open source research tools and capabilities. The ARDC is investing to accelerate research in the medical domain through the conversion of key hospital and general practice EMR datasets to this model, through an EMR to OMOP public sector bridges project. In this talk, we shall present the rationale for converting data to this model and the challenges and lessons learnt in converting datasets to this model. Project DOI:10.47486/PS014
Presenter:
- Contact dboyle -at- unimelb.edu.au
Target Audience:
Developers and technical experts working within these projects to design and implement the required solutions. The target audience is not end-users, researchers, or managers - although anyone with an interest in the technicalities is welcome.
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Subscribe to get access to the Zoom meeting.
See more details
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Getting set up in DReSA - Trainers & Training Providers
Getting set up in DReSA - Trainers & Training Providers
Thu, 26 May 2022 3:00 pm - 4:30 pm
Getting set up in DReSA - Trainers & Training Providers
Call to action - trainers and training providers DReSA needs your training activities content! Come and learn how you can help.
This webinar and ingest clinic is open to all, but is primarily intended for training providers, trainers, course developers, training program managers, researchers who train, organisation decision makers, infrastructure managers or anyone involved in digital infrastructure training programs.
Session facilitators:
Nick May (DReSA developer - CSIRO)
Ann Backhaus (Education & Training Manager - Pawsey Supercomputing Centre)
Kathryn Unsworth (Manager, Skills & Workforce Development - ARDC)
See more details and register here
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Security on the Nectar Cloud Training
Security on the Nectar Cloud Training
Mon, 30 May 2022 1:00 pm - 2:00 pm
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The Australian Research Data Commons (ARDC) enables the Australian research community and industry access to nationally significant, data intensive digital research infrastructure, platforms, skills and collections of high quality data.
Through our partners, the Australian Research Data Commons (ARDC) provides high capacity digital data storage for nationally significant collections, cloud computing, collection curation and data management resources, as well as national catalogue, identifier and vocabulary services.
Partnerships are essential for Australia to develop a transformed data and computational infrastructure environment and a partnerships approach is a core principle for the Australian Research Data Commons (ARDC). Our NATIONAL and INTERNATIONAL collaborations and partnerships ensure valuable data and software assets are developed, made available and sustained for everyone.
We have a huge collection of resources for researchers, librarians and eResearch professionals. The topics covered by our resources and guides range from ethics and sensitive data to managing data; from research data policy and licensing to training and teaching research data management skills.