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Transcription service now available

Griffith's new speech-to-text service will simplify audio transcription for Griffith researchers, while also increasing the security of the material transcribed. Neither audio nor the transcribed audio data will be shared with third parties, mined for information, or stored in off-shore locations. This will deliver a much safer and more secure transcription service than third-party commercial options.

The new service uses Microsoft's Azure transcription service to transcribe audio data. Machine learning models are used to automate this process, and transcriptions come with an impressive degree of accuracy. The service complies with Australian government, Griffith, and ARC funding requirements. While not free, the cost of the new service is a lot cheaper than commercial options. Costs have two components - costs for the transcriptions, and short term data storage costs.

Examples of speech-to-text transcriptions can be found here. Check them to see if the level of accuracy is good enough for your project.

The service is being offered and managed through Griffith eResearch Services. Fill in this form to get an account, or find out more about the service.

What's New

  • Moving towards third generation impact
    "Existing dominant approaches to university research impact are not adequately meeting societal and planetary needs. Nor are they meeting societal expectations or building public trust. If academic institutions are to secure their future, they need to demonstrate a genuine commitment and capacity to work with others to achieve the transformational changes needed." Read the Impact as ethos report.

  • Plan S - arguing for open access research
    Plan S is the open-access initiative trying to change traditional science publishing in favour of greater open research sharing. Here’s how it works.

  • Fake-paper factories churning out sham science
    Some academic publishers say they are battling a deluge of industrialised cheating, with many publishers forced to retract hundreds of suspicious papers. A Nature analysis examines the growth of the 'paper mill' problem and how journal editors are trying to cope. Read more.

  • Harnessing the power of the machine
    Could machine learning (ML) be useful for your research? This is not always evident, at least not without some understanding of how ML works and how it can be applied to research problems. Sorting good images from bad is one potential use, but there are many more. Read more about what it is, what training is on offer and how you might use it.

  • Publishing toolbox
    Nature has collected a number of publishing-related resources in this bank of resources, including How to write a superb literature review and the Webcast on How to write a first-class paper.

Spotlight on ... Systematic Reviews


Systematic-style reviews aim to analyse and summarise all relevant literature so as to come up with the best possible answer. They are a valuable approach used in many disciplines such as medicine. While Cochrane Reviews may be one of the best-known sources of systematic reviews, there are several other review types that all follow a similar process, for example, scoping reviews, rapid reviews, meta-analyses and meta-syntheses, integrative reviews and systematic quantitative literature reviews.

The following features characterise systematic reviews:

  • transparent, reproducible, auditable methods
  • searches are rigorous in order to locate all eligible studies
  • criteria for including and excluding studies are predetermined.

The key is to follow the different steps carefully and keep good records. Read about the different stages in conducting a review, and check out the different tools that can help.

Hot Topics

  • Responsible reporting of suicide during COVID-19: the role of academic publishing
    Staff from the International COVID-19 suicide prevention research collaboration (ICSPRC) present a number of points for authors to keep in mind when writing and reporting on this issue.

  • Research culture: where should change start?
    Where does research culture originate and what tools do we have to change it? People from across the UK research community share their ideas about what is not ideal in the present system and what should change.

  • Why industry internships can be your 'golden ticket'
    Three Norwegian PhD students took a break from their PhD programs to work for a time in industry. They talk about the career benefits of these internship breaks - the positive feedback, the skills they got to apply and the insights they gained. Read their stories.

  • Fighting 'fake news' with rewards
    A 'carrot' rather than a 'stick' approach might reduce the spread of inaccurate information such as conspiracy theories and climate denial on social media. Since "users lack clear, quick incentives for reliability. Social-media platforms need to offer 'carrots' for truth." read the article.

Top Tip

If you use Google Scholar to search for journal articles, conference papers, theses, technical reports and books, you can set up a Google Scholar profile which will give you access to the full text at Griffith if the material is available through any Library database. Follow these instructions on setting this up.

What you might have missed on the blog

  • What does water mean to you?
    World Water Day took place on 22 March. On this important day, Professor Stuart Bunn, the Director of the Australian Rivers Institute, discussed people's personal 'water footprint', the importance of fresh water, and the role of the Australian Rivers Institute in ensuring our sustainable future. Read the Q&A with Professor Bunn.

  • Streamline your access to online resources

    Researchers, would you like to:

    — more easily access Griffith's subscribed resources?
    — speed up access to full text articles?
    — discover which resources the Library can give you access?

    Read our 'how to' on managing all these tasks.

  • Getting data out of texts
    Disciplines such as journalism, history, cultural studies and law all rely on written texts as source material. With that material now digitised, computational methods can be used to mine and analyse text, or to read and compare texts across time, cultures or geographies. The Library is now offering workshops on how digital text analysis can revolutionise your research. Read more."

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