Guest post by Andrew Gray, UCL Bibliometrics Support Officer

The UCL Research Support team has recently launched a comprehensive new LibGuide on Research Metrics. This resource covers a range of topics, from how to use and understand bibliometrics (citation metrics and altmetrics) to guidance on specific tools and advice on handling publications data. Learn more about this guide to enhance your research impact and better understand the world of research metrics!

Image by Calvinius (own work), CC BY-SA 3.0

Bibliometrics

The core of the new guide is focusing on guidance for using and understanding research metrics, such as bibliometrics, citation metrics, and altmetrics. It explains how to access citation counts through Scopus and Web of Science, and more complex normalised metrics through InCites. It also gives guidance on how to best interpret and understand those metrics, and advice on metrics to avoid using. The guide also covers the UCL Bibliometrics Policy, which governs the use of bibliometric data for internal assessments at UCL, and sets some limits on what should be used.

Guidance for Tools

Within the LibGuide, you will also find guidance pages for how to use specialised services like InCites, Altmetric, and Overton to measure research impact. Additionally, the guide offers advice on using other tools that UCL does not subscribe to but may be beneficial for research support. This includes three freely available large bibliographic databases—Lens, Dimensions, and OpenAlex—which provide broader coverage than Web of Science and Scopus. It also outlines how to use a range of tools for citation-network based searching like Research Rabbit, Connected Papers, and Litmaps, as well as modern AI-supported search and summarising tools such as Scite, Keenious, and Consensus.

These are of course not the only tools available – especially with AI-supported tools, there are frequently tools being released – but these are ones we have been asked to investigate by students and researchers. If you would like feedback on another tool you are considering using, please get in touch.

Publications data

The LibGuide also addresses broader questions about using publications data. It outlines how to download publication and metrics datasets from Web of Science, Scopus, InCites, and Altmetric, and gives some guidance on how to link datasets from different sources together. Learn more about using publications data.

Additionally, the guide also explains how best to interpret data drawn from UCL-specific sources such as RPS, data ensuring you can make the most of the data available to you.

This new LibGuide is an important resource for anyone looking to expand their understanding of research metrics and manage their publications data. Visit the guide today to explore these tools and resources in detail.

Further support

We offer regular online or in-person training sessions as part of the Library Skills program. Please see the Library Skills calendar for dates and bookings. There are also three self-paced online sessions available through the Library Skills Moodle.

For any enquiries about bibliometrics, please contact us on bibliometrics@ucl.ac.uk 

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 X, formerly Twitter, LinkedIn, and join our mailing list to be part of the conversation!

This the second blog post of our collaborative series between the UCL Office for Open Science and Scholarship and the UCL Copyright team. Here, we continue our exploration of important aspects of copyright and its implications for open research and scholarship. In this instalment, we examine Text and Data Mining (TDM) and its impact on research along with the associated copyright considerations.

Image by storyset on Freepik.

The development of advanced computational tools and techniques for analysing large amounts of data has opened up new possibilities for researchers. Text and Data Mining (TDM) is a broad term referring to a range of ‘automated analytical techniques to analyse text and data for patterns, trends, and useful information’ (Intellectual Property Office definition). TDM has many applications in academic research across disciplines (Intellectual Property Office definition). TDM has many applications in academic research across disciplines.

In an academic context, the most common sources of data for TDM include journal articles, books, datasets, images, and websites. TDM involves accessing, analysing, and often reusing (parts of) these materials. As these materials are, by default, protected by copyright, there are limitations around what you can do as part of TDM. In the UK, you may rely on section 29A of the Copyright, Designs and Patents Act, a copyright exception for making copies for text and data analysis for non-commercial research. You must have lawful access to the materials (for example via a UCL subscription or via an open license). However, there are often technological barriers imposed by publishers preventing you from copying large amounts of materials for TDM purposes – measures that you must not try to circumvent. Understanding what you can do with copyright materials, what may be more problematic and where to get support if in doubt, should help you manage these barriers when you use TDM in your research.

The copyright support team works with e-resources, the Library Skills librarians, and the Office for Open Science and Scholarship to support the TDM activities of UCL staff and students. New guidance is available on the copyright website. TDM libguide and addresses questions that often arise during TDM, including:

• Can you copy journal articles, books, images, and other materials? What conditions apply?
• What do you need to consider when sharing the outcomes of a TDM analysis?
• What do publishers and other suppliers of the TDM sources expect you to do?

To learn more about copyright (including how it applies to TDM):

• Visit the new TDM guidance.
• Register for one of our copyright sessions.
• Contact the copyright team if you have specific questions or would like to organise a session for your department.
• The new UCL Copyright Literacy Community aims to bring together staff and students from across UCL to identify and collaborate on areas where an understanding of copyright should be strengthened. If you are interested in joining, please contact the copyright team.

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 X, formerly Twitter, LinkedIn, and join our mailing list to be part of the conversation!

Date and Time: Thursday, June 20, 2024, 1:00 PM – 6:30 PM GMT+1.

Location: IAS Common Ground, G11, South Wing, Gower Street, London WC1E 6BT

We invite you to participate in an afternoon of discussions and presentations centred around Open Science and Scholarship at the UCL Open Science Conference 2024! Join us on Thursday, June 20, 2024, at the UCL Institute of Advanced Studies, IAS Common Ground (Room G11), South Wing, UCL Wilkins building.

Attendees of UCL Open Science Conference 2023 during workshop

Discover pioneering practices and innovative research and initiatives at UCL that embody the principles of Open Science and Scholarship. This internally focused event aims to showcase the dynamic landscape of Open Science at UCL and explore its practical applications across scholarship and research domains, including Open Access Publishing, Open Data and Software, Transparency, Reproducibility, Open Educational Resources, Citizen Science, Co-Production, Public Engagement, and other open practices and methodologies.

Open to all UCL staff and students, our annual conference will feature various thematic sessions, followed by a poster session and networking opportunities in the evening for all attendees. Whether you’re an academic, researcher, student, or member of staff – or simply interested in Open Science/Open Research – this conference is the perfect place to learn, connect, and exchange ideas with colleagues. Early career researchers and PhD students from all disciplines are particularly encouraged to participate.

Our conference will adopt a hybrid format, offering both in-person and online participation options, with a preference for in-person attendance. Session recordings will be available for viewing after the conference.

Please book your free tickets using the Eventbrite link. 

We look forward to welcoming you to the UCL Open Science Conference 2024!

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 X, formerly Twitter, LinkedIn, and join our mailing list to be part of the conversation!