Guest post by Dr Christiana McMahon, Research Data Support Officer

Since launching in June 2019, the UCL Research Data Repository has now received over 1million views from over 190 countries and territories across the world! Plus, we have published over 1000 items and facilitated over 800,000 downloads!

This is a huge milestone and demonstrates how far reaching the Research Data Repository has become.

To date, the:

• most viewed record is:

Heenan, Thomas; Jnawali, Anmol; Kok, Matt; Tranter, Thomas; Tan, Chun; Dimitrijevic,  Alexander; et al. (2020). Lithium-ion Battery INR18650 MJ1 Data: 400 Electrochemical Cycles (EIL-015). University College London. Dataset. https://doi.org/10.5522/04/12159462.v1

• most downloaded record is:

Steinmetz, Nicholas A; Zatka-Haas, Peter; Carandini, Matteo; Harris, Kenneth (2019). Distributed coding of choice, action, and engagement across the mouse brain. University College London. Dataset. https://doi.org/10.5522/04/9970907.v1

• most cited record is:

Pérez-García, Fernando; Rodionov, Roman; Alim-Marvasti, Ali; Sparks, Rachel; Duncan, John; Ourselin, Sebastien (2020). EPISURG: a dataset of postoperative magnetic resonance images (MRI) for quantitative analysis of resection neurosurgery for refractory epilepsy. University College London. Dataset. https://doi.org/10.5522/04/9996158.v1

What is the UCL Research Data Repository?

From the Research Publications Service for published manuscripts and theses, to MediaCentral for all things media, UCL staff and students can access different places to store their research outputs – and the UCL Research Data Repository is a perfect place for research data, posters, presentations, software, workflows, data management plans, figures and models.

Key features:

• Available to all current staff and research students
• Supports almost all file types
• All published items can have a full data citation including a DOI (unique persistent identifier)
• Items can be embargoed where necessary
• Helps provide access and data sharing
• Preserves and curates outputs for 10+ years
• Facilitates discovery of research outputs
• Helps researchers to meet UCL / funders’ requirements for FAIR data

More information about the service can be found on our website.

Access our user guide.

Why use the Research Data Repository?

With communities across UCL being actively encouraged to engage with the FAIR principles, it was important to give staff and research students even greater means to do so. The FAIR principles: Findable, Accessible, Interoperable and Reusable, refer to a set of attributes research outputs should have to enable secondary researchers to find, understand, repurpose and reuse these without major technical barriers​. Subsequently, there are many advantages to having FAIR research outputs including:

• Greater accessibility of research outputs
• Enhanced transparency of the research process
• Greater potential to replicate studies and verify findings
• Enhanced potential for greater citation and collaboration
• Encourages members of the public to become involved in research projects and become citizen scientists
• Maximises research potential of existing research resources by reusing and repurposing them

Hence, we developed and launched the Research Data Repository to support staff and research students wanting to further engage with the FAIR principles here at UCL.

Collaboration is key

The Research Data Management team in Library Services and the Research Data Stewardship team from the Centre for Advanced Research Computing, collaborate to provide both administrative and technical support – helping users to upload, publish and archive their research outputs.

You can reach us using researchdatarepository@ucl.ac.uk or join us at one of our online or in-person drop-in sessions.

What does the future hold?

Over the past year, the Research Data Repository team participated in a series of workshops as part of the FAIR-IMPACT Coordination and Support Action  funded by the European Union. This work was led by Dr Socrates Varakliotis and supported by Dr Christiana McMahon, Kirsty Wallis, Dr James Wilson and Daniel Delargy.

The aims of these workshops were to:

• firstly, enhance the trustworthiness of the repository; and
• secondly, to enhance the semantic metadata (documentation) made publicly available online

During the first project, we conducted a thorough self-assessment of the information we provide about the repository service with a view to highlighting how we demonstrate trustworthiness. Consequently, we made a series of improvements to our documentation including the publishing of a new, more accessible website.

Over the course of the second project, we focused on improving the standardised metadata we make available to search engines indexing repository information globally. In this project, we were able to demonstrate how having validated metadata is important to supporting the trustworthiness of repository services.

The next step is to further explore how the repository’s trustworthiness may be enhanced even further to formally meet international standards and expectations.

Final thoughts

Having over 1million views truly is a fantastic achievement and testament to the hard work and dedication of those working behind the scenes to provide this brilliant service, and the wonderful users across UCL who have published with us.

Next stop, 2million views – and until then…

Get involved!

The UCL Office for Open Science and Scholarship invites you to contribute to the open science and scholarship movement. Stay connected for updates, events, and opportunities. Follow us on Bluesky, and join our mailing list to be part of the conversation!

Guest post by Andrew Gray, Bibliometrics Support Officer

Altmetrics are the concept of “alternative metrics” – measuring the impact of research beyond scholarly literature. This covers a wide range of different things, ranging from social media discussions (e.g. Twitter or Facebook), mainstream news reporting, and grey literature such as policy documents. Understanding how research is being reported and discussed in these can help give us a broader understanding of the impact and reach of papers that we don’t see from looking at traditional scholarly citations.

UCL has a subscription to Altmetric, the primary commercial database for this information. It covers a broad range of materials. We also subscribe to a second source, which focuses purely on policy documents – Overton and can be a helpful complement.

There are several ways in which looking at altmetrics can give us information that wouldn’t otherwise be available. For example, we can see how different audiences outwith academia are responding to research, and we can look at what they’re saying to get an idea of the kind of response.

Some of the altmetric indicators (particularly Mendeley bookmarks) seem to have a close correlation with subsequent citations and can give us an early view of what citation figures may be like six months to a year in future.

Lastly, tracing policy citations through Altmetric or Overton can effectively demonstrate the wider research impact, for example, for use in a funding report or application.

Looking at activity

So what data can we see? Altmetric provides an aggregated “score” for each paper, indicating an overall activity level. While this isn’t a very exact measure, it lets us identify papers with high and low activity levels.

Looking over the past few years at UCL, the most obvious thing is that discussion of research is dominated by COVID-19. It accounts for thirteen out of the fifteen most heavily discussed UCL papers overall – by comparison, were we to look at pure citation counts, COVID papers account for none of UCL’s top fifteen overall, and only perhaps four out of the top fifteen from the past few years. This very striking difference highlights how altmetrics and citations can show different things.

The colour swatches on each show how the activity is broken down. For example, in this paper, we can see that most of the activity is from X/Twitter (light blue), with smaller contributions from Facebook (dark blue), news media (red) and blogs (yellow). Clicking through will let us drill down to see all the activity details.

Diving into data – day by day

One thing that surprised us with Altmetric is the sheer volume of data that they make available. Reports of 100,000+ papers can be downloaded, including DOIs and PubMed IDs, making it easy to link data to other sources such as RPS and InCites. This lets us do some analyses that wouldn’t be possible in other sources – but do tell us something unexpected.

For example, it gives us the exact date papers were published. Looking at around 50,000 UCL papers published in 2020-22, we find that the response differs depending on the day of the week – papers on Wednesday and Thursday are above-average, and papers on Tuesdays are below average.

In part, it is because some of the most prestigious publications have fixed publication days – most Nature papers are released on Wednesdays, for example. These journals have a large share of high-impact papers and an excellent publicising system.

The weekends are interesting. Not many papers come out on the weekends, but the ones that do, have a noticeable citation/bookmarking penalty compared to weekday ones, suggesting they are less impactful on average. And they make much less of a stir in the news media – a weekend paper is less than half as likely to get news coverage as a weekday one.

But social media has a sharp difference – Sunday papers get significantly more Twitter activity than Saturday ones. An intriguing mystery!

Using Altmetric at UCL

Altmetric and Overton are both available to any user at UCL. You simply need to log in to Altmetric using a UCL email, which will set up your user account. For Overton, you can browse the data without an individual account or set up an account to save searches and other functionalities.

We have integrated Altmetric with RPS, the central UCL publications database. Every two to four weeks, every paper in RPS since 2013 is exported, tagged with the UCL author(s) and associated departments, and uploaded into Altmetric.

This means that we can use the Altmetric dashboard to dig down into UCL outputs in some detail – we can ask it questions like “news stories in the last month referring to a piece of research published by someone in Chemistry”. It is also possible to save and circulate reports from the dashboard – this report shows the top 20 papers from Chemistry in 2023 by Altmetric Activity.

Similar functionality is not yet available for Overton, but if you would like to search for papers from a specific department, we would recommend generating a list of DOIs from InCites (or even from Altmetric itself!) and importing those as an advanced search.

We will be running introductory training sessions for both Altmetric and Overton in the coming term – please contact bibliometrics@ucl.ac.uk if you would be interested in attending these or booking a 1:1 meeting to go through the services.