Your research degree requires the ability to apply …'analytical and critical thinking skills to generate new knowledge, investigate problems and develop inventive solutions.' (UQ HDR Graduate Attributes, 2017) This starts with the way you design your project, your review of existing literature, the methodologies you use and the analysis you apply. Building these skills during your research degree will equip you to engage these same skills in your future career and apply them in a wide variety of contexts. 
 

Research methods

The Graduate School has a range of research methods sessions available.

Qualitative Research Institute for Social Science Research (ISSR) Queensland Facility for Advanced Bioinformatics (QFAB)

Library workshops

The library offers a range of workshops under the headings below. 

R and Python Research data management Data visualisation

Useful links

  • RStudio cheat sheets
  • Data Management at UQ (UQRDM) 
  • Sage Research Methods 
  • Join Sage’s Methodspace 
  • Publons Academy: A free online course for peer reviewers
  • Hacky Hour (supported by RCC, QCIF, IMB and wonderful volunteer helpers!): RCC runs consultations every Tuesday at Cafe Nano. Come and ask IT questions such as: getting started with Python and R, stats, machine learning, bio-image, software tools, research data management (RDM), how to access high performance computing, cloud data storage and tools for data cleaning and data visualisation. Bring your project's IT problems or come along as a helper! Very occasionally Hacky Hour may not run; follow us on Twitter (@HackyHourStLuc​) to get the latest announcements. Aside from the usual IT research questions, 
    • First Tuesday of the monthBioinformatics Hacky Hour, ask bioinformatics analysis, software and pipeline questions
    • Last Tuesday of the monthBioLab Hacky Hour, ask about experimental design and technical sample processing questions to get started in the lab

Expressions of Interest: Qualitative Research Workshops

3 November 2020 9:45am4:30pm
Expressions of interest will open for the workshops which, along with the two lectures, comprise a full qualitative research day with Professor Silverman. If selected for the workshop, you may also apply to meet David for one-on-one consultations. Places are very limited! ===========EOIs WILL IN OPEN IN JUNE 2020===========

Principles of Research Design (ISSR) - Long Pocket

5 December 2019 9:00am5:00pm
Learn the basics of research design which is a key component of any research study.

Introduction to multilevel modelling (ISSR) - Long Pocket

4 December 2019 9:00am5:00pm
Learn about multilevel modelling.

Introduction to Regression modelling (ISSR) - Long Pocket

3 December 2019 9:00am5:00pm
Learn about regression modelling.

Introduction to longitudinal data analysis (ISSR) - Long Pocket

2 December 2019 9:00am5:00pm
Learn about longitudinal data analysis.

Understanding quantitative data and performing descriptive analyses (ISSR) - Long Pocket

29 November 2019 9:00am5:00pm
Learn about quantitative data in order to inform your research design decisions.

RNA Seq analysis with Galaxy and R (QFAB) - TRI

20 November 2019 9:00am21 November 2019 5:00pm
Formerly called "RNA Seq Analysis using Galaxy", this hands-on workshop will introduce the specific skills and applications used in the analysis of RNA-Seq gene expression data. Prior expertise with R and the command line interface is required, equivalent to QFAB's “Introduction to R”. REGISTRATION WILL OPEN ON 31 OCTOBER, NOON.

Assembly of long-read sequencing (QFAB) - TRI

12 November 2019 9:00am5:00pm
Recommended for biologists and other life scientists planning to work with long-read (PacBio) next-generation sequencing data for genome assembly. Knowledge of R is essential. REGISTRATION WILL OPEN ON 15 OCTOBER 2019, NOON.

Longitudinal and mixed model analysis in R (QFAB) - TRI

8 November 2019 9:00am5:00pm
This workshop deasl with longitudinal data and its analysis. Participants MUST know R and be familiar with the concepts of statistical hypothesis testing and regression analysis. REGISTRATION WILL OPEN ON 15 OCTOBER 2019, NOON.

Exploring and predicting using linear regression in R (QFAB) - TRI

7 November 2019 9:00am5:00pm
This workshop will provide attendees with a friendly, gentle introduction to the theory behind linear regressions in R. REGISTRATION WILL OPEN ON 15 OCTOBER 2019, NOON.

Overview of Descriptive statistics (ISSR) - Long Pocket

6 November 2019 1:00pm3:00pm
This primer is an introduction to descriptive statistics to assist you in making your qualitative or quantitative methodological decision.

Basic statistical ideas for researchers

1 November 2019 10:00am12:00pm
Learn about quantitative research design and specifically descriptive and inferential statistics.

Qualitative Research - Analysing qualitative data: instances or sequences (Lecture 2)

31 October 2019 2:00pm3:15pm
The highly popular lecture series by Professor David Silverman is back! This is the second of two lectures by Professor Silverman regarding how to 'do' research.

Qualitative Research - Establishing credibility (Lecture 1)

31 October 2019 10:00am11:45am
The highly popular lecture series by Professor David Silverman is back! This is the first of two lectures by Professor Silverman regarding how to 'do' research.

Collecting qualitative data (ISSR) - Long Pocket

29 October 2019 9:00am1:00pm
Learn about the common qualitative methods.

Collecting quantitative data (ISSR) - Long Pocket

28 October 2019 1:00pm5:00pm
Learn about the common quantitative methods.

Hypothesis testing using R (QFAB) - TRI

25 October 2019 9:00am5:00pm
This workshop is relevant to any student who wishes to understand how to conduct the analysis by themselves using R. Prior knowledge of R is required. Note that the examples used will be from bioinformatics. REGISTRATION OPENS ON 1 OCTOBER, NOON.

Advanced R: Data preparation, processing and reporting using R (QFAB) - TRI

24 October 2019 9:00am5:00pm
This hands-on workshop will introduce users of the R software environment to the techniques involved in generating reproducible, dynamic data analyses and reports. Note that the examples will be from bioinformatics. REGISTRATION OPENS ON 1 OCTOBER, NOON.

Intro to R: Using the R statistical environment (QFAB) - TRI

23 October 2019 9:00am5:00pm
No prior knowledge of R required, this workshop is relevant for all disciplines, although examples and exercises will focus on biological datasets. REGISTRATION OPENS ON 30 SEPTEMBER, NOON.

Overview of Multilevel models (ISSR) - Long Pocket

22 October 2019 1:00pm3:00pm
This primer is an introduction to multilevel modelling; to assist you in making your analytical decisions.

Overview of Longitudinal models (ISSR) - Long Pocket

22 October 2019 9:00am11:00am
This primer is an introduction to longitudinal modelling; to assist you in making your analytical decisions.

Overview of Regression modelling (ISSR) - Long Pocket

21 October 2019 1:00pm3:00pm
This primer is an introduction to regression modelling; to assist you in making your analytical decisions.

Library's Software Carpentry with R

30 September 2019 9:00am1 October 2019 4:30pm
Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation.

Metagenomics Using Galaxy (QFAB) - TRI

27 September 2019 9:00am5:00pm
For biologists and other life scientists planning to work with next-generation sequencing data from 16S metagenomic samples. REGISTRATION OPENS ON 30 AUGUST, NOON.

Variant detection using Galaxy (QFAB) - TRI

26 September 2019 9:00am5:00pm
For biologists and other life scientists planning to work with next-generation sequencing data for small variant detection. REGISTRATION OPENS ON 30 AUGUST, NOON.

Genome assembly using Galaxy (QFAB) - TRI

24 September 2019 9:00am5:00pm
For biologists and bioinformaticians interested in genome sequencing and the assembly process, particularly for bacteria. No prior bioinformatics knowledge is required. REGISTRATION WILL OPEN ON 30 AUGUST, NOON.

NGS - How data generation impacts bioinformatics (QFAB) - TRI

23 September 2019 9:00am5:00pm
Recommended for biologists, other life scientists and computer scientists planning to work with next-generation sequencing data. REGISTRATION OPENS ON 30 AUGUST, 12 NOON

An introduction to social science methods to address big social questions

20 September 2019 2:00pm3:30pm
Run by ISSR, it will overview social science methods and provide a snapshot of various methods. Part of UQ Research Week - Capabilities Showcase.

Genome assembly using command line (QFAB)

20 August 2019 9:00am21 August 2019 5:00pm

Clinical data capture and management with REDcap (QFAB) - Herston

16 July 2019 9:00am5:00pm
For clinical, translational and health service researchers, health service managers, research managers and others wanting to learn about the capabilities of REDCap - a secure web application for building and managing online surveys and databases. No prior experience with REDCap is necessary.

Working with sensitive data (QFAB) - Herston

9 July 2019 9:00am5:00pm
Recommended for clinical and translational researchers, research assistants, research managers and others wanting to learn about frameworks and practical approaches to working with sensitive data in health including data sharing and de-identification.

Digital Researcher Showcase: Keynote

21 May 2019 2:00pm4:00pm
Listen to the keynote speech by Professor Bronwyn Harch, Deputy Vice-Chancellor (Research) as part of the Digital Researcher Showcase. See Registration link to register.

Basic statistical ideas for researchers

26 April 2019 1:00pm3:00pm
Learn ideas relating to research design, descriptive statistics and inferential statistics.

edX's R and Python workshops (Online)

1 January 2019 9:00am
Beginners to advanced level online courses are available from our MOOC platform, edX (which we partner with well-known institutions all around the world). A large variety of offerings are available throughout the year in self-paced or paced modes. Clicking on the Register link will bring you to a search of available R courses.

Library's Research Data Management best practice sessions

1 January 2019 12:30am
The Library runs several data management sessions including on UQRDM across the year.