Skip to content

All posts in Uncategorised

Using Open Access outside academia – some tips

This week the Open Access Team attended PhD student Emily Nunn’s fascinating talk, ‘Open Access outside academia: exploring access to medical and educational research for non-academics’ at the British Library. One of the takeaway messages from this presentation was that charity workers in particular are demonstrating high levels…

GDPR for Research Data Management – workshop report

This blog post provides a brief overview of a workshop organised for the London Area Research Data (LARD) group on the implications of the General Data Protection Regulation (GDPR) for research data management. The event was held at the London School of Hygiene & Tropical Medicine on November 17, 2017. It was organised by Gareth Knight (LSHTM), in conjunction with Helen Porter (SOAS) and Laurence Horton (LSE). A second write-up of the session has been produced by Laurence Horton. Read more

Rural hygiene – snapshot from the collections

 

There are a number of works on rural health in our collections, including general works from dating the late 19th century when the public health movement gathered momentum.

The examples I have chosen below are on the open shelves in the gallery. Please ask library staff for directions if…

Open access roundup – October 2017

Each month, the Research Publications Team will aim to provide a roundup of open access and scholarly communications news. In addition, we’ll highlight any tips, tricks and tools we’ve come across that help to make disseminating, finding and using open access content easier. Here’s our roundup for…

Books for orientation

Books for orientation

 

In a previous blog* I extolled the virtues of walking in London. Here are a couple of books to set local walks in an historical  public health and tropical medicine context.

 

Black, Nick. Walking London’s medical history. London : Hodder Arnold, 2012.

Library location: DX…

Gain new insight into your health research using text mining

An abundance of scholarly resources are available to the researcher, easily discoverable through use of a few search terms. However, this opulence comes at a price: there is too much literature for a researcher to find and read themselves. Text and Data Mining (TDM) offer a solution for health researchers wishing to analyse a large corpus of resources, including research papers, medical records, and other material, even when the information is held in an unstructured form. The resultant output may be used to identify hidden patterns that emerge over time and across geographic regions, predict and address gaps within the data, and convert content into a form better suited to modern research. Read more