Capture research data

Research data are created or captured to analyse and produce original research results.

High quality documentation and data description (known as metadata) enables future users to find, understand, use and properly cite your data. During your project:

  • Document your data and collection processes to ensure quality, transparency and context.
  • Use open formats to ensure your data can be identified, interpreted, accessible, understandable, preserved and verified.
  • Describe and organise your data at the point of collection or creation to ensure integrity is preserved and contextualised.
  • Use high resolution capture and digitisation technology or equipment for primary materials.
  • Document ownership information, intellectual property, privacy and consent.

Data capture involves collecting data for processing or analysis using various methods, from high end technologies to low tech field instruments.

Use tools and processes to:

  • capture data provenance—include data origin details, how it has been altered or transformed
  • record quality metadata at the point of capture to enhance sharing, publishing and citation
  • organise and structure data into open and flexible formats
  • ensure compliance with privacy, ethics, and consent agreements.

Solutions, methods and tools are available to capture your data accurately and ensure valid results.

View available tools

Interviews

  • Apply for ethics approval to secure informed consent from participants.
  • Consider potential data sharing and re-use scenarios when organising an appropriate agreement.

Randomised controlled trials

Clinical Trials Randomisation Service provides an independent randomisation process, compatible with all major clinical trial standards.

Speech to text service

Griffith provides access to a speech-to-text service for automatically transcribing audio data. This service is safe, secure and complies with Australian government, Griffith, and ARC funding requirements.

Surveys and clinical trials

Griffith provides access to LimeSurvey, Qualtrics and REDCap for developing and distributing surveys. Each tool has different strengths and use cases.

Compare survey tools

Create high-quality surveys

Before you begin creating your survey:

Start developing and publishing your research survey

While planning your survey consider:

  • the survey objectives
  • the type of survey that best suits your objectives
  • how the survey supports your research intentions
  • who is your target cohort
  • how many responses you need to get
  • if it should be anonymous
  • how it will be advertised or distributed
  • possible incentives or enlistment strategies
  • if extra care is needed for the research data (personal, or commercial sensitive data may need special handling).

Note: Make sure you have ethics approval for your research.

After completing training start building your survey by:

  • registering your survey
  • building a test survey
  • giving others access (for example, your supervisor) during survey development, if required
  • creating a map or flowchart of your survey
  • validating your survey with a small test group.

Once your survey is finished and requires no further changes:

  • activate your survey
    • survey structure and question types can not be changed once active
  • decide how long to keep the survey active
  • decide between open-access or closed-access mode
    • open-access mode—anyone with the link can complete the survey
    • closed-access mode—participants need to register or receive an email invite, with a limited number of uses.

Note: Choose Open-access mode if you don’t know who will be completing your survey. Closed-access is good when you need to keep a record of participants.

After activating and distributing your survey:

  • keep track of completed submissions
  • export data after you have enough responses or the survey has expired

Data is commonly exported to Excel (CSV), SPSS, or R for analysis.

Contact us for assistance integrating survey panel codes if you engage a panel company to supply participants.

All Griffith supported survey tools have inbuilt charts and data display pages that show a simple overview of participant responses.

You can analyse using free software available via the Software catalogue:

  • Leximancer—text analysis
  • Nvivo—qualitative analysis
  • SAS—statistical analysis
  • SPSS—statistical analysis
  • R—free software environment for statistical computing and graphics.

Attend Hacky Hour for support with R or Python programming.

After data analysis has been completed:

Check the Australian Code for the Responsible Conduct of Research and Griffith's Schedule of Retention Periods for Research Data and Primary Materials.

Survey tools at Griffith

REDCap

REDCap (Research Electronic Data Capture) is a data collection tool that is highly flexible and supports multiple collaborators. It works well for clinical and longitudinal studies, but can also be used to deliver simple surveys.

  • Suitable for clinical and longitudinal studies.
  • More suited to studies with multiple collaborators.
  • Offline data collection tools (for remote fieldwork).

Griffith hosts a secure instance of REDCap for use by university researchers, where all surveys and data collected are stored on our own servers and administrated by the eResearch Services team.

REDCap at Griffith

REDCap tutorial

Publish

Randomisation

Store and archive

Short links

Find out more

Training videos

Resources

Request support

Common REDCap questions

How do I add collaborators to a REDCap project?

More answers

REDCap

REDCap (Research Electronic Data Capture) is a data collection tool that is highly flexible and supports multiple collaborators. It works well for clinical and longitudinal studies, but can also be used to deliver simple surveys.

  • Suitable for clinical and longitudinal studies.
  • More suited to studies with multiple collaborators.
  • Offline data collection tools (for remote fieldwork).

Griffith hosts a secure instance of REDCap for use by university researchers, where all surveys and data collected are stored on our own servers and administrated by the eResearch Services team.

REDCap at Griffith

REDCap tutorial

Publish

Randomisation

Store and archive

Short links

Qualtrics

Qualtrics is a web-based tool enabling you to build surveys, feedback and polls using a variety of distribution means. Results can be easily analysed, downloaded and viewed in reports to inform your research.

  • User-friendly interface.
  • Supports very complex logic.
  • Offers some question types not available in other tools.

The Griffith instance is hosted in an Australian data centre and meets requirements for Personally Identifiable Information ( PII ) data capture. Qualtrics is centrally funded and available free of charge for Griffith staff and students.

Launch Qualtrics

Learn the basics and get support

XM Basecamp house tutorials and guides to get you started with Qualtrics. You can contact the Qualtrics team 24/7 via email, chat or phone for technical support.

XM Basecamp

eResearch support

Common Qualtrics question

What is the Qualtrics organisation ID?

Where can I learn Qualtrics basics?

How do I move Qualtrics individual licence surveys to the Griffith Qualtrics enterprise account?

More answers

Compare Qualtrics and REDCap

FeatureQualtricsREDCap
Price Free Free
Complexity ***** ****
Validation Yes Yes
Email invitations Yes Yes
Secure file send No Yes
Custom HTML / CSS Yes2 No
Quotas Yes Yes
Logic and branching Yes Yes
Offline data entry Yes3 Yes3
Longitudinal studies Yes Yes
Panel integration Yes2 Yes1
Mobile app Yes Yes
Responsive design (mobile friendly) Yes Yes
Randomisation / counterbalancing Yes Yes
Hosted on Griffith infrastructure No Yes
  1. Possible, but difficult and complex. Contact us for advice before proceeding.
  2. Additional costs are involved.
  3. Requires mobile app.

REDCap

REDCap (Research Electronic Data Capture) is a data collection tool that is highly flexible and supports multiple collaborators. It works well for clinical and longitudinal studies, but can also be used to deliver simple surveys.

Griffith hosts a secure instance of REDCap for use by university researchers, where all surveys and data collected are stored on our own servers and administrated by the eResearch Services team.

REDCap at Griffith

Publish

Randomisation

Store and archive

Short links

Learn the basics

Work through our self-paced tutorial to get started with REDCap.

REDCap tutorial

Common questions

Ask Us

More answers

Qualtrics

Qualtrics is a web-based tool enabling you to build surveys, feedback and polls using a variety of distribution means. Results can be easily analysed, downloaded and viewed in reports to inform your research.

The Griffith instance is hosted in an Australian data centre and meets requirements for Personally Identifiable Information (PII) data capture. Qualtrics is centrally funded and available free of charge for Griffith staff and students.

Launch Qualtrics

Learn the basics and get support

XM Basecamp house tutorials and guides to get you started with Qualtrics. You can contact the Qualtrics team 24/7 via email, chat or phone for technical support.

XM Basecamp

eResearch support

Capture, Analyse and Store Your Research Data

Effective research data management begins with thoughtful planning and continues throughout the research lifecycle. From capturing raw data in the field or lab, to analysing it for insights, and finally storing it securely for future use—each stage plays a vital role in ensuring your research is reproducible, ethical, and impactful.

At Griffith, researchers have access to tools, technologies and guidance to help:

Capture data accurately using appropriate formats and metadata standards.
Analyse data using discipline-specific methods and software.
Store and archive data securely in line with institutional and ethical requirements.

Capture

Capturing research data is a foundational step in producing high-quality, reproducible research. It involves documenting your processes, using open formats, and ensuring data integrity from the moment of collection.

To learn more about best practices—including metadata, provenance, digitisation, and compliance—please refer to our detailed guide:

Creating and Capturing Research Data (link to KA)

Types of research data to capture

Interviews

RCTs

Speech to text

Surveys

Survey tools at Griffith

REDCap is a secure, flexible survey tool hosted by Griffith for research data collection. It supports complex study designs, offline data capture, and collaborative workflows.

Qualitrics is

Analyse and visualise

Prepare data

Identify and fix errors or inconsistencies, remove duplicates, reformat, combine, split and undertake other cleaning and wrangling activities before analysis.

These tools will help prepare data:

What are the Scholarly publishing requirements for data? (link to new KA)

Develop your skills

Computational thinking Learn how to breakdown complex problems and develop potential solutions, in ways that a computer, human or both can understand.

Ten reproducible research things ten steps to make your research reproducible, beginning with data quality, documentation, management of sensitive data, through to the publication of datasets.

Basic data cleaning using OpenRefine basic data preparation techniques using OpenRefine.

Organise data

Ensure your research can be successfully replicated by others (and yourself), by organising, naming, versioning and documenting data and files using standard methods and consistent formats.

Learn the 7 steps towards Reproducible Research.

Develop your skills

Basic data cleaning using OpenRefine basic data preparation techniques using OpenRefine.

Advanced data wrangling using OpenRefine combine datasets and use advanced techniques using OpenRefine.

Programming Historian Learn how to use digital tools, techniques and workflows that help facilitate research in any discipline.

GLAM Workbench Find tools and tutorials to work with data from galleries, libraries, archives, and museums.

Analyse Data

Find data analysis tools and software via Griffith’s Software catalogue

Analyse text from historical primary sources using Gale’s Digital Scholar Lab

Analyse large datasets with the power of Griffith's High Performance Computing (HPC)

Develop your skills

Advanced data wrangling using OpenRefine combine datasets and use advanced techniques using OpenRefine.

Data visualisation basics Learn to use MS Excel, Voyant tools or RAWGraphs and image conversion software to create publication quality visualisations.

Visualise data

Use these open-source tools to visualise data:

  • Voyant tools—reading and analysis for digital texts
  • RawGraphs—create visualisations for complex data
  • Gephi—network analysis and visualisations
  • Cytoscape—complex network analysis and visualisations
  • R or Python—use Data to Viz to find a graph type and code to build it.

Develop your skills

Advanced data wrangling using OpenRefine combine datasets and use advanced techniques using OpenRefine.

Data visualisation basics Learn to use MS Excel, Voyant tools or RAWGraphs and image conversion software to create publication quality visualisations.

Classify and store

Ensure your research data is kept safe from loss, theft, misuse or accidental disclosure.

Classifying your data is the first step to understand how to treat your data safely.

Use the Research data classification guide to identify audience, user restrictions and authorisations.

Then use Griffith supported storage solutions developed for Research staff and HDR candidates.

Compare the options

Ask the library

Common questions

Ask Us

More answers

We are here to help!

Find us in the libraries or contact us by phone or online.