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Services

Literature Searches

Use the forms website to request librarians to search the literature on your topic

For urgent requests, please phone as well as submitting the form to ensure the librarians are able to respond as required.  Requests to support clinical care are given priority over all other search requests.


You will be given a list of references (not the articles themselves) in Microsoft Word and in an EndNote Library.

You can then select the ones that interest you (follow the 'Get it @ E/SMHS' button.  Journal titles are in the A-Z listing or try a bookmarklet or LibKey Nomad to connect to full text.

Note:  Requests for support for external study purposes must have EMHS / SMHS relevance and support will be more limited.  Give sufficient notice of your request - urgent deadlines are not generally accepted when the request is for assignment purposes.

Consider using your University Library's services and resources.  If the course requires you to conduct searches yourself, seek training from your university or use their training guides.   Tutorials available

Advanced Searching

If you need a literature search to address a complex research question or for purposes of doing a systematic or scoping review, check out the Library's guide.  Add us to your team CRediT (Contributor Roles Taxonomy) and we will design and manage complex, thorough searches in multiple databases and provide results in an EndNote Library.

 

Research Screener - The SMHS Research Support and Development unit will provide a login to SMHS staff needing to screen large sets of citations for research or systematic / scoping reviews.  Form to request a login.
Link to login for SMHS staff with an account.

Research Screener: a machine learning tool to semi-automate abstract screening for systematic reviews
Kevin E. K. Chai, Robin L. J. Lines, Daniel F. Gucciardi & Leo Ng 
Systematic Reviews volume 10, Article number: 93  1 April 2021

Research Screener is a machine learning application that helps identify the most relevant papers from  the large number of papers typically generated from a search.

Searches for research or systematic / scoping reviews typically need to be sensitive (to avoid missing relevant papers).  This results in a very large number of papers that need to be screened for relevance.

Research Screener ingests this large number of papers.  The researcher ‘seeds’ it with a handful of gold standard papers that closely fit the inclusion criteria and Research Screener uses machine learning algorithms to identify relevant papers.

If you want a login to Research Screener, complete this form.