Category: Research

Unlock the Power of Healthcare Knowledge with Your Library Databases!

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Navigating the world of healthcare can feel incredibly overwhelming. The feeling of being time-poor while juggling personal commitments, lectures, and clinical placements can be intense. So, when it comes to research for assignments or understanding complex conditions, it can be hard to know where to start.

Rather than time spent on endless online searches that can lead you down rabbit holes of questionable websites and outdated information, your library invests in premium healthcare databases like CINAHL, MEDLINE, British Nursing Database (and many more!) for a reason – they are goldmines of credible, peer-reviewed research specifically for healthcare.

Our Database Search page is fully integrated within our main library search tool and can be found at the top of Primo, so no need to remember any separate URLs.

The Database Search is divided up into different subjects so you can browse resources applicable to your course. Alternatively, you can search by key terms and draw results from the whole of the collection.

Befriend these databases for:

  • Reliable, up-to-date evidence: These databases curate information from reputable journals.
  • Targeted Information: Use specific keywords and filters to pinpoint articles directly related to your topic, whether it’s wound care, mental health nursing, or diabetes management.
  • Evidence-Based Practice at Your Fingertips: These databases help provide the foundation for understanding the “why” behind the practice, helping deliver the best possible services based on solid research.
  • Academic Success: Using credible sources from these databases will strengthen your arguments, demonstrate critical thinking, and ultimately lead to better grades.
  • Expanded knowledge: Broaden your understanding of healthcare topics for career preparedness.

Don’t know where to start?  

  1. Sign in to Primo – your library catalogue.
  2. Search in the ‘Database Search’ for your database – follow any off-campus notes if needed.
  3. For further information and support, see your LibGuide or contact your librarian.

Happy researching!

AI and the Library. Week Seven: The Ethics of Using Generative AI (Part Two)

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Be transparent about your AI Usage

Before we get properly underway, let me just reiterate that you must always follow any university and departmental guidance on using AI tools in assessed work.

In our last post on the ethics of using generative AI, we started looking at the importance of understanding the responsibilities that come with using these tools. The key message in that post was the need to familiarise yourself with Aberystwyth University’s guidelines on AI usage.

This week, we’re covering another important topic: being transparent about your use of AI tools in assessed work.

As generative AI becomes more widely available, universities are emphasising the importance of academic integrity and clear disclosure when using these technologies.

Using AI can be a valuable aid in research, brainstorming, and drafting, but it’s essential to be upfront about how and where you’ve used it.

Being open about your use of AI tools is vital for maintaining academic integrity. Transparency shows your commitment to honesty and ethical study practices.

Key Takeaway: Why Transparency Matters:

  • It demonstrates your academic honesty.
  • It reflects your commitment to ethical study practices.
  • It highlights your critical thinking skills.
  • It reinforces your professional accountability.

How to Acknowledge AI Usage:

Academic departments and module coordinators will be best placed to advise you on how you should acknowledge AI outputs. These might include:

  • AI tool-use statements.
  • Advice on correct referencing and citation practices for AI outputs.

You can find additional help and support on using AI here: Artificial Intelligence  : Information Services , Aberystwyth University

AI and the Library. Week Six: The Ethics of Using Generative AI (Part One)

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When I first set out to write about the ethics of using generative AI, I thought it would be just a single blog post. But the deeper I dug, the more there was to explore. So, instead of just one post, this topic has turned into a spin-off series of its own (think House of the Dragon to Game of Thrones!)

Over the past few weeks, we’ve explored how generative AI tools like ChatGPT and Perplexity are transforming how users interact with library resources. But with these advancements come important ethical considerations.

The first, and arguably most important, step in using generative AI responsibly is understanding your university’s AI policies. Familiarising yourself with the guidelines ensures you stay academically honest and allows you to make informed decisions about AI use.

Here’s are some things to keep in mind:

University-wide Guidelines

  • Review the university’s official policies on using AI in academic work.
  • Check for specific rules about AI in assignments, exams, or research projects.

Departmental Advice

  • Look for any AI-related guidance provided by your academic department.
  • Pay attention to instructions or updates from your module tutors about AI use.

Module-specific Rules

  • Some modules may have unique rules about using AI tools.
  • Check your module handbook or ask your module coordinator if you’re unsure about what’s allowed.

Consequences of Misuse

  • Misusing AI or failing to acknowledge its role could be considered academic misconduct.
  • Be aware of the potential consequences, such as:
    • Failed assignments.
    • Disciplinary action.
    • Harm to your academic reputation.

By understanding these policies, you can use AI responsibly and meet the university’s expectations while maintaining academic integrity.

AI and the Library. Week Five: Using AI to Develop Smart Keyword Searches.

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Here at the library, we’re big fans of Primo, the library catalogue. With Primo, you’re not just able to find the books on our shelves, you’re also getting access millions of digital resources, all ready and waiting at your fingertips.

But with so many resources available to you, searching the library catalogue can sometimes feel frustrating. If you use too broad a search (e.g. “history”) then you are inundated with results. Too narrow a search term (“Neo-Gothic architecture in rural Chile”) and you’ve got nothing!

So what can you do? Our advice as subject librarians is to start by building a keyword vocabulary. Having a clear set of keywords will make your searches more targeted, helping you focus on the most relevant and useful resources. It’s a simple step that can make a huge difference in your research journey!

How Can AI Help You Build a Search Vocabulary?

An AI tool like ChatGPT can suggest smarter keywords, synonyms, and related concepts to make your searches more effective. Let’s look at some examples.

1. Smarter Alternatives to Broad Terms.

[Prompt] Suggest some keyword alternatives for “Climate change”

The AI might respond with:

  • Global warming.
  • Climate crisis.
  • Greenhouse effect.

2. Investigating Causes.

Want to explore what drives climate change? Try:

[Prompt] Provide me with a list of keywords for some of the main causes of climate change.

The response:

  • Carbon dioxide emissions.
  • Fossil fuels.
  • Industrial pollution.
  • Methane emissions.

3. Exploring Impacts.

    Do you want to focus on how climate change affects the planet? Use:

    [Prompt] Suggest keywords for the main impacts of climate change.

    Response:

    • Sea level rise.
    • Melting polar ice caps.
    • Extreme weather events.
    • Biodiversity loss.
    • Ocean acidification.

    4. Looking for Solutions

    For mitigation strategies, try:

    [Prompt] Suggest keywords for how climate change can be mitigated.

    Response

    • Renewable energy.
    • Carbon sequestration.
    • Climate change policies.
    • Green technology.
    • Sustainable development.

    Putting It All Together

    Finally, combine these ideas for a more complex search. For example:

    {Prompt] Suggest a set of keyword searches to find resources on the effects of methane emissions on biodiversity loss and what can be done to mitigate those effects.

    The AI might help you craft a search that looks like this:

    • Methane emissions and biodiversity.
    • Impact of methane on Arctic ecosystems.
    • Methane mitigation technologies in permafrost regions.

    By using AI to build a targeted keyword vocabulary, you’ll spend less time searching and more time discovering the resources you need.

    [Responses listed above were created with ChatGPT].