Developing Researcher Training Program

Researcher profiles - ORCID
25 Oct

Researcher profiles - ORCID

ORCID - Open Researcher and Contributor ID - provides researchers with a persistent unique identifier. ORCID prevents name ambiguity and connects publications, datasets and affiliations under a researcher's record.
How "real" is that information? Implications of new technology such as AI, deep fakes, big data, social media, etc. on how we access and evaluate information and data sources
19 Oct

How "real" is that information? Implications of new technology such as AI, deep fakes, big data, social media, etc. on how we access and evaluate information and data sources

In the "recent' past, it was relatively simple for an academic or student to identify what information sources and data were accurate, reliable, authoritative and so on. Identifying dodgy journals or websites was a bit time-consuming, but achievable with some critical thinking skills.
Early Career Researchers - Developing your Networks and Relationship Building for Funding Success
19 Oct

Early Career Researchers - Developing your Networks and Relationship Building for Funding Success

Join us at Nathan campus or via Microsoft Teams for this hybrid session for ECRs at Griffith. Networking and relationship building is a key skill and activity for all researchers in order to apply for and secure grant and other sources of research funding. It is therefore vital but also an advantage for ECRs to hone these skills early in order to have the competitive edge on their colleagues.
Systematic style reviews - Tips and tools for getting from start to finish
18 Oct

Systematic style reviews - Tips and tools for getting from start to finish

Join your library specialists to learn about tips and tools that can simplify your systematic and systematic-style reviews from start to finish.
Data Organisation in Spreadsheets for Researchers
13 Oct

Data Organisation in Spreadsheets for Researchers

Good data organization is the foundation of any research project. Most researchers have data in spreadsheets, so it's the place that many research projects start.To use tools that make computation more efficient, such as programming languages like R or Python, we need to structure our data the way that computers can read the data.