This is a QFAB course and places are highly limited as Graduate School is paying the fee. If you are unable to attend, please de-register (or email graduateschool@uq.edu.au if you are unable to do so). An unexplained absence could result in all your future QFAB registrations becoming Waitlisted.

Syllabus

●Collecting data via instruments

●Importing data, creating simple reports and exporting data

●Creating longitudinal studies and follow up surveys

●Managing security access through roles and individual permissions

●Moving projects from development to production

Learning Objectives

●Create a project and a data collection instrument (form)

●Create and use a data dictionary

●Import data from an external source

●Enter data and manage data and participants through the Record Status Dashboard

●Create a summary report and custom reports

●Export data for use in a statistical package

●Set up a longitudinal study with repeated measures at different timepoints

●Create an invited survey and a public survey

●Create security permissions for individual users and assign permissions to specific roles

●Set up and employ randomisation

●Apply quality checking and validation steps to move a project from development to live production.

About Research & analysis

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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