Check our helpsheet (PDF) for advice about accessing e-resources while you’re away from SGUL.
2. Keep an eye on book renewals
Any books that you’ve borrowed will renew automatically as long as no-one else requests them. So in most cases, the only reminder you’ll receive is an email telling you that your items have successfully renewed.
But if one of your books is requested by another user, you’ll receive an email asking you to return it by the due date.
If your book is requested while you’re away from SGUL…
…you will still need to return it by the due date if possible. Overdue books are fined at 20p per day and are invoiced after two weeks.
But if you’re unable to return a book by the due date, we recommend signing in to your account in Hunter where you can attempt to renew it manually. If another copy of the book has been returned, your renewal will succeed – so try this over several days to increase your chances.
Find more detailed guidance in our blog post here.
3. Register to study in a library near you
SGUL Library is a member of the SCONUL access scheme, allowing our users reference access to over 170 other university libraries across the UK and Ireland. (Postgraduates may also get limited borrowing rights in some cases.)
To start using the scheme, follow the steps on the SCONUL Access page. Within a few days, and provided there are no fines on your Library account, you’ll receive an email from us which you can take to your chosen library along with your SGUL ID card to apply for access.
Free WiFi with Eduroam
Like SGUL, many universities in the UK and worldwide use Eduroam for WiFi. If you’re visiting another university – or just passing nearby – you’ll often pick up the network on a WiFi-enabled phone or laptop and will be able to connect using your SGUL username (remember to include @sgul.ac.uk) and password.
Last November the Wellcome Trust launched the Data Re-use Prize to celebrate innovative reuse of open data either in antimicrobial resistance (AMR) or malaria. Entrants were asked to generate a new insight, tool or health application from two open data resources, the AMR ATLAS dataset or the Malaria ROAD-MAP dataset.
MRC-LID PhD student and member of the winning team for AMR, Quentin Leclerc, dropped by the SGUL RDM Service to talk about the prize and the challenging but rewarding process of reusing open data.
Quentin, congratulations on the win. Can you tell me a little bit about your team’s entry for the Data Re-Use Prize?
Sure. We developed a tool to help inform empiric therapy. Empiric therapy is basically when physicians pool multiples sources of data together to make the best informed guess about how to treat a patient. This is before they know exactly what bacteria a patient is infected with and its potential resistance to antibiotics. Say, for example, a patient has sepsis and needs to be treated right away. A physician might determine the most likely causes as E.coli and S. aureus infection and then make an informed guess about the best antibiotic to prescribe to treat both of these bacteria, bearing in mind regional estimates of each of pathogen’s resistance to different antibiotics. The physician is basically thinking, “given what we know about the common causes of this condition and antibiotic resistance, which antibiotic is likely to work best?”
Our proof of concept web app integrates data from a range of open data sources to visualise antibiotic resistance rates for common infections to help physicians prescribe faster and more accurately. If developed, the tool can potentially be used to inform national guidelines on how to treat common infections in many countries, particularly in low and middle income counties where data aren’t always available to inform empiric therapy at the local or hospital level.
Sounds very exciting. As a first year PhD student, what was it like to win a prize like this?
It was really unexpected. We didn’t expect to win, we just thought, ‘we’ll publish our findings anyway so let’s see how this goes’. The other entries for the prize were very specific while our entry was pretty broad so we weren’t very confident. It was a real surprise and a great effort from everyone on the team.
As a PhD student, it was an interesting experience overall. This project is very different from my PhD but working on this tool helped me to get used to the various datasets out there and to look at the big picture of antimicrobial resistance and antibiotic prescribing. It was an enlightening process.
Can you tell me a little bit more about the process of reusing existing data? What was it like?
It was surprising. The thing with data is that it’s collected for a purpose. When someone comes in trying to use that data for a different purpose, they start to see what’s missing. They start to make approximations and assumptions to use the data for something it wasn’t intended for. The ATLAS dataset is very accurate and it’s very rich but it suits its original purpose. For example, we needed to group the data in increasingly complex ways. Once we started doing this, the sample sizes started to look quite small. The dataset wasn’t suited to those kinds of groupings.
When we started comparing the ATLAS dataset to other datasets, the AMR data appeared to show slightly different information. So we started to ask, who collected this data? In what contexts would this data have been collected? Might there be a sampling bias that explains this difference we’re seeing between the datasets? There was a legitimate reason for the difference we were seeing, but that’s why it’s really important to think about why you’re using a dataset and exactly what you want to achieve because the data may not suit your purpose.
Also, we integrated data from a range of sources. When you start doing this, comparing available datasets, you realise the heterogeneity of the data that’s out there; they are all in different formats, they have different naming conventions, even the bacteria aren’t named in the same way and we had to work out exactly which bacteria different datasets were referring to. There aren’t any standards across the different sources to make integrating the datasets easy.
So there were a lot of challenges to reusing data that someone else created?
Yes, we needed to keep in mind that the data was not created to answer our research question. We also found that there was a lack of information in the available literature around the common causative pathogens of several infections to help us understand and use the data correctly.
What advice would you give to researchers wanting to reuse open datasets but are hesitant?
It is important to look at the dataset and really understand it. Ask yourself why it was collected, where it was collected, how it was collected. Don’t take anything for granted. Open datasets are incredible resources but you can’t blindly go in there.
Once you understand the dataset you’ll naturally get the confidence to use it and ask the right questions of it. You won’t be scared or overwhelmed by it. You’ll also save a lot of time once you start working on the data and better understand how to combine it with other datasets.
Quentin and his team’s winning entry, Antibiotic Resistance: Interdisciplinary Action (AR:IA), is openly available here. The team was led by Dr Gwen Knight at the London School of Hygiene and Tropical Medicine and included Nichola Naylor, Francesc Coll and Alexander Aiken.
If you have any questions about finding and reusing open data contact Michelle Harricharan, Research Data Support Manager.
UPDATE 03/05/2019: You can read the official SGUL news release on this prize here.
Did you know that access to BMJ Best practice is now provided by Health Education England to all George’s Trust staff ? Login via your OpenAthens account to access this excellent new resource.
What is BMJ Best Practice?
BMJ Best Practice is a clinical decision support tool, uniquely structured around the patient consultation, with advice on symptoms, evaluation, tests to order and treatment approach. The resources cover thousands of clinical topics and over 6,000 clinical guidelines. Access is available anywhere, with online or offline access via the BMJ Best Practice App. You can even use it to demonstrate learning as it tracks your searches for clinical information for CPD/CME.
A personal account gives you access to extra features such as the app and the ability to track CPD/CME activity and download certificates. You will be prompted to create a personal account on your first visit.
Step 3 Download the app
First, make sure you have completed step 2 and created a personal account
Search for ‘BMJ Best Practice on the App Store or Google Play
Select the app and start the download
Enter your personal account login details to complete the download.
A session for those new to Twitter, offering a hands-on practical workshop exploring this growing social media platform, with particular focus on how Twitter can be used in a professional context.
Recommended: For anyone wanting to get familiar with Twitter
Tuesday 18th June 10:00-11:30
Recommended for: SGUL/FHSCE staff and students
Sessions available on request.
Please email email@example.com
If you cannot make any of the times, we are happy to arrange sessions for either individual or larger groups depending on your needs. To organise a bespoke session please email us at firstname.lastname@example.org