Web of Science webinars in May 2026

The UJD University Library invites you to take part in a series of webinars organised by Clarivate Analytics, focusing on metadata quality. The webinars are free of charge, but prior registration is required.

Web of Science Basics – Your tool for discovering and analysing key publications
Date: 22 May 2026
Time: 11.00 a.m. –12.00 p.m.
Registration link: Register
Description: Modern science is developing rapidly, and the growing number of publications and the interdisciplinary nature of research make it difficult to find reliable and relevant information. Researchers must cope with data overload, assess the reliability of sources, and analyse trends and the impact of research. During the webinar, we will introduce the Web of Science Core Collection and demonstrate how to effectively search for literature, analyse citations, and utilise bibliometric data in research and evaluation. We will also discuss key features such as account personalisation, search strategies, results management, and available support resources. The webinar is aimed at researchers, PhD students, librarians, and anyone involved in the analysis and evaluation of scientific output who wish to navigate the world of scientific literature more efficiently and make decisions based on reliable data. 
Presenter: Viktor Curasev, Customer Success Consultant 

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The importance of structured data in science: from search to reliable analysis
Date: 26 May 2026
Time: 10.00 a.m. – 11.00 a.m.
Registration link: Register
Description: As the volume and complexity of scientific research worldwide increase, the way data is organised and classified becomes crucial for reliable analyses and sound decisions. If data is poorly organised or inconsistently classified, it can lead to incomplete results, erroneous conclusions and misleading comparisons – even when the analyses themselves are carried out correctly. Drawing on findings from the Institute for Scientific Information (ISI) report ‘Research Categorisation and the Value of Structured Data’, this webinar explains why well-prepared data, consistent classifications and rich metadata are so important. We will show specific examples of how poor data quality can distort citation analysis, benchmarking, collaboration assessments and research outcomes. We will also explain how appropriate approaches – such as subject normalisation or accounting for time in analyses – help to mitigate these problems.
Presenter: Marcin Kapczynski, Strategic Customer Success Consultant