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Nine Versions of One Name: RMA Breakfast on Research Visibility
How do you make sure your work is found, read, and credited to you? At the RMA Breakfast Boost Your Research Visibility on October 6, Monika Kuchlei Sieberová and Eva Nagyová of Masaryk University’s Centre for Research Culture, Evaluation and Doctoral Studies showed researchers where to start.
Science communication covers a lot of ground, from a heated debate at a conference to a lecture for schoolchildren. The speakers divided it by audience: expert communication aimed at other researchers, funders, and policymakers, and popularization for the general public. Before either, they suggested answering three questions: What is my key message in one sentence? Whom do I want to reach? Which media do those people actually follow? “I have a new Q1 publication” is not a key message.
Expert communication starts with something more mundane: making sure your work is linked to you. Names are messy. In Web of Science, a single researcher’s name appeared in nine different combinations of initials and surnames. Persistent identifiers solve this. The speakers walked through ORCID, ResearcherID, and Scopus Author ID, and showed how they connect to the MU Information System, where ORCID has been mandatory for publishing staff and doctoral students since October 2025. Their advice fits into four words: search, consolidate, connect, update.
The second part looked at where researchers share their work. Academic networks such as ResearchGate, Academia.edu, and Mendeley help researchers follow new work in their field and find collaborators. On LinkedIn, the speakers recommended posting once or twice a month and explaining the research in plain language instead of copying the abstract. Whatever the platform, a post about a publication should include its DOI, because that is how altmetric tools track online attention. They added a caveat: high attention does not mean high quality.
The final part turned to the general public. Not every researcher has to be a popularizer, the speakers said, and pushing someone into it is counterproductive. For those who want to try, they covered the inverted pyramid, plain language, and practical tools for data visualization, graphics, and video. One rule is worth keeping in mind: no one has ever complained that a text was too easy to understand.
