EARC training: data, data management, metrics and research visibility

28 September 2026

The next two training sessions in the Reciprocal Programme will be taking place in October, and focus on data, data management, metrics and research visibility.

The sessions are free and open to all. Click on the links to register. To find out more about other upcoming sesisons, click here.

Wed 7 Oct 2026, 13:00-14:00: Research data and data management

Led by Ian Badger (Kent) and Helen Webb (Sussex), this workshop will provide an introduction to key aspects of managing, sharing and reusing research data.

Attendees will be introduced to why and how research data can be shared, including considerations around ethics, consent and confidentiality, and copyright and the use of existing data resources. The workshop will also provide an overview of practical aspects of good data management, including data description, contextualisation and documentation; data formats and software; and data storage, back-up and security.

We will also consider the requirements of research funders and journals, and offer practical tips for both sharing your own research data and finding existing data for use in research. We will signpost towards support and resources at your own institution.

By the end of the workshop, attendees will have a better understanding of the key principles of good research data management and the considerations involved in storing, documenting, sharing and reusing research data.

There will be time at the end for questions and discussion.

To register, click here.

Tues 27 Oct 2026, 14:00-15:00: Increasing your research visibility: online profiles and research metrics

Led by Ian Badger (Kent), this workshop will explore practical ways researchers can increase the visibility and discoverability of themselves and their research, and introduce some of the metrics used to understand research reach and impact.
Attendees will consider the role of online research profiles and identifiers, including institutional staff profiles, ORCID, Google Scholar and professional and social platforms such as LinkedIn. We will look at how these different profiles can work together, the importance of keeping information about your research accurate and discoverable, and the role of contributor information and credit taxonomies in recognising research contributions.
The workshop will also introduce some of the different ways in which research is measured, including journal-level metrics, citation counts, the h-index and altmetrics. We will consider what these measures can – and cannot – tell us, and explore the principles of responsible research assessment, including DORA.
By the end of the workshop, attendees will have a better understanding of the tools available to develop their online research presence, increase the visibility of their work, and interpret commonly encountered research metrics responsibly.
There will be time at the end for questions and discussion.
To register, click here.

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