HeSANDA Monash Node User Guides
This guide developed by the HeSANDA Monash node provides an overview for users of Health Data Australia (HDA).
HDA helps researchers discover and access health data. HDA is a registry and does not store the data itself but provides descriptions of the data from data owners' publishing partners....
Keywords: Health Data Australia, health data, data request, HDA, HeSANDA, data access
HeSANDA Monash Node User Guides
https://zenodo.org/records/10275253
https://dresa.org.au/materials/hesanda-monash-node-user-guides
This guide developed by the HeSANDA Monash node provides an overview for users of Health Data Australia (HDA).
HDA helps researchers discover and access health data. HDA is a registry and does not store the data itself but provides descriptions of the data from data owners' publishing partners. Using HDA, researchers can search these descriptions, find data of use to do their research, then request access to it. The request will be sent to the owner of the data to review. Data owners receive email notifications about new data requests and can then log into the HDA Data Request platform to review the request and determine whether access can be granted and then respond to the researcher requesting access. If the request is approved, the owner arranges for the researcher to be given access to the data.
The dataset descriptions (‘metadata’) contained on HDA help researchers understand the kinds of data that exist and assess whether a dataset may be of value to their research, without the need to actually access the data. In addition to metadata, data owners provide other documentation describing the data they hold, such as study protocols and data dictionaries.
Using HDA, researchers can search for data, save their searches, submit and manage data requests.
Amany.Gouda-Vossos@ardc.edu.au
Monash Partners
Monash University
Health Data Australia, health data, data request, HDA, HeSANDA, data access
HeSANDA Monash Node Workshop Content
Slide presentation for a HeSANDA workshop delivered on January 1, 2023, which provides the audience with a broad understanding of the HeSANDA program, including Health Data Australia (HDA).
What is HeSANDA:
The Health Studies Australian Data Asset (HeSANDA) is a national program that makes...
Keywords: health data, clinical trials, HeSANDA, Health Data Australia
HeSANDA Monash Node Workshop Content
https://zenodo.org/records/10275272
https://dresa.org.au/materials/hesanda-monash-node-workshop-content
Slide presentation for a HeSANDA workshop delivered on January 1, 2023, which provides the audience with a broad understanding of the HeSANDA program, including Health Data Australia (HDA).
What is HeSANDA:
The Health Studies Australian Data Asset (HeSANDA) is a national program that makes health and medical research data easier to find. It facilitates access, sharing and reuse of research data. This results in a reduction in research waste, improvements in researcher collaboration, and an opppotunity ti answer new research questions. It aims to support more efficitent and effective research to help improve health outcome.
Amany.Gouda-Vossos@ardc.edu.au
Monash Partners
Monash University
health data, clinical trials, HeSANDA, Health Data Australia
Advancing Health Research Through Data Sharing: Event Toolkit
As part of the ARDC Community Connect project, An event was run on October 25th 2023 that was designed to raise awareness of Health Research Data Sharing and of the Health Data Australia platform. This 'event toolkit' resource has been developed in order to make the planning materials and event...
Keywords: training material, event, data sharing
Advancing Health Research Through Data Sharing: Event Toolkit
https://zenodo.org/records/10211837
https://dresa.org.au/materials/advancing-health-research-through-data-sharing-event-toolkit
As part of the ARDC Community Connect project, An event was run on October 25th 2023 that was designed to raise awareness of Health Research Data Sharing and of the Health Data Australia platform. This 'event toolkit' resource has been developed in order to make the planning materials and event outputs available to those who may wish to reproduce the event or utilise the event outputs for their own awareness building activities. The event recordings for the event held on October 25th are available on YouTube here.
Amany.Gouda-Vossos@ardc.edu.au
Australasian Leukaemia and Lymphoma Group
University of Melbourne
Deakin University
South Australian Health and Medical Research Institute
training material, event, data sharing
Health Studies Australian National Data Asset (HeSANDA) flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Keywords: clinical trial, dataset, training material
Health Studies Australian National Data Asset (HeSANDA) flyer
https://zenodo.org/records/10199242
https://dresa.org.au/materials/health-studies-australian-national-data-asset-hesanda-flyer
Health Studies Australian National Data Asset (HeSANDA) - Digital FlyerReusing data to accelerate research and better health outcomes
Amany.Gouda-Vossos@ardc.edu.au
Australian Research Data Commons
South Australian Health and Medical Research Institute
University of Melbourne
Deakin University
Australasian Leukaemia and Lymphoma Group
Menzies School of Health Research
Australian e-Health Research Centre
Queensland Cyber Infrastructure Foundation
University of Sydney
Curtin University
clinical trial, dataset, training material
Introduction to REDCap at Griffith University
This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.
Keywords: REDCap, survey instruments
Resource type: tutorial
Introduction to REDCap at Griffith University
https://griffithunilibrary.github.io/redcap-intro/
https://dresa.org.au/materials/introduction-to-redcap-at-griffith-university
This site is designed as a companion to Griffith Library’s Research Data Capture workshops. It can also be treated as a standalone, self-paced tutorial for learning to use REDCap (Research Electronic Data Capture) a secure web application for building and managing online surveys and databases.
y.banens@griffith.edu.au
Yuri Banens
REDCap, survey instruments
mbr
phd
ecr
researcher
support
Introducing Computational Thinking
This workshop is for researchers at all career stages who want to understand the uses and the building blocks of computational thinking. This skill is useful for all kinds of problem solving, whether in real life or in computing.
The workshop will not teach computer programming per se. Instead...
Keywords: computational skills, data skills
Resource type: tutorial
Introducing Computational Thinking
https://griffithunilibrary.github.io/intro-computational-thinking/
https://dresa.org.au/materials/introducing-computational-thinking
This workshop is for researchers at all career stages who want to understand the uses and the building blocks of computational thinking. This skill is useful for all kinds of problem solving, whether in real life or in computing.
The workshop will not teach computer programming per se. Instead it will cover the thought processes involved should you want to learn to program.
s.stapleton@griffith.edu.au
Belinda Weaver
computational skills, data skills
Advanced Data Wrangling with OpenRefine
This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.
Keywords: data skills, data
Resource type: tutorial
Advanced Data Wrangling with OpenRefine
https://griffithunilibrary.github.io/advanced-data-wrangle-2/
https://dresa.org.au/materials/advanced-data-wrangling-with-openrefine
This online self-paced workshop teaches advanced data wrangling skills including combining datasets, geolocating data, and “what if” exploration using OpenRefine.
s.stapleton@griffith.edu.au
Sharron Stapleton
data skills, data
mbr
phd
ecr
researcher
support
professional
Introduction to Data Cleaning with OpenRefine
Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data...
Keywords: data skills, Data analysis
Resource type: tutorial
Introduction to Data Cleaning with OpenRefine
https://griffithunilibrary.github.io/data-cleaning-intro/
https://dresa.org.au/materials/introduction-to-data-cleaning-with-openrefine
Learn basic data cleaning techniques in this self-paced online workshop using open data from data.qld.gov.au and open source tool OpenRefine openrefine.org. Learn techniques to prepare messy tabular data for comupational analysis. Of most relevance to HASS disciplines, working with textual data in a structured or semi-structured format.
s.stapleton@griffith.edu.au;
Sharron Stapleton
data skills, Data analysis
mbr
phd
ecr
researcher
support
professional
10 Reproducible Research things - Building Business Continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are...
Keywords: reproducibility, data management
Resource type: tutorial, video
10 Reproducible Research things - Building Business Continuity
https://guereslib.github.io/ten-reproducible-research-things/
https://dresa.org.au/materials/9-reproducible-research-things-building-business-continuity
The idea that you can duplicate an experiment and get the same conclusion is the basis for all scientific discoveries. Reproducible research is data analysis that starts with the raw data and offers a transparent workflow to arrive at the same results and conclusions. However not all studies are replicable due to lack of information on the process. Therefore, reproducibility in research is extremely important.
Researchers genuinely want to make their research more reproducible, but sometimes don’t know where to start and often don’t have the available time to investigate or establish methods on how reproducible research can speed up every day work. We aim for the philosophy “Be better than you were yesterday”. Reproducibility is a process, and we highlight there is no expectation to go from beginner to expert in a single workshop. Instead, we offer some steps you can take towards the reproducibility path following our Steps to Reproducible Research self paced program.
Video:
https://www.youtube.com/watch?v=bANTr9RvnGg
Tutorial:
https://guereslib.github.io/ten-reproducible-research-things/
a.miotto@griffith.edu.au; s.stapleton@griffith.edu.au; i.jennings@griffith.edu.au;
Amanda Miotto
Julie Toohey
Sharron Stapleton
Isaac Jennings
reproducibility, data management
masters
phd
ecr
researcher
support
Data Storytelling
Nowadays, more information created than our audience could possibly analyse on their own! A study by Stanford professor Chip Heath found that during the recall of speeches, 63% of people remember stories and how they made them feel, but only 5% remember a single statistic. So, you should convert...
Keywords: data storytelling, data visualisation
Data Storytelling
https://griffithunilibrary.github.io/data-storytelling/
https://dresa.org.au/materials/data-storytelling
Nowadays, more information created than our audience could possibly analyse on their own! A study by Stanford professor Chip Heath found that during the recall of speeches, 63% of people remember stories and how they made them feel, but only 5% remember a single statistic. So, you should convert your insights and discovery from data into stories to share with non-experts with a language they understand. But how?
This tutorial helps you construct stories that incite an emotional response and create meaning and understanding for the audience by applying data storytelling techniques.
m.yamaguchi@griffith.edu.au
a.miotto@griffith.edu.au
Masami Yamaguchi
Amanda Miotto
Brett Parker
data storytelling, data visualisation
support
masters
phd
researcher