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All posts in Open Access

RCUK open access funding update

The School has approved a new policy for the RCUK open access block grant, managed by the Library & Archives Service. In order to make best use of the remaining funds during the rest of the block grant period (which runs to the end of March 2020), we have made the decision to only fund articles published in fully open access journals from 1 April 2018. Read more

Open Access Publishing Policy

The School has now approved an Open Access Publishing Policy, which applies to all individuals carrying out research within the School. It reinforces the School’s commitment to better communicating research findings to a wider audience, as well as it’s broader commitment to Open Research.

The key points are…

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…

The growth of open access at LSHTM: not all open access is equal

LSHTM authors are increasingly choosing to publish their work open access. Looking at the open access profile of the School’s publications, almost 40% of research articles are published in fully open access journals, with the percentage of open access articles published in hybrid journals not increasing substantially since 2001. Costs, however, have increased and hybrid articles in 2017 on average around £700 more expensive than articles in fully open access journals. These costs may not be sustainable and in terms of immediate “value for money” at least, hybrid journals may not be the best option. Read more

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