IPR4Data course

Discover the answer in the IPR4DATA course!

The IPR4Data Course is an expertly designed program aimed at providing participants with a thorough understanding of patent analysis.
It encompasses essential aspects such as conducting patent searches, designing search queries, managing and visualizing patent data, and interpreting analysis results for strategic decision-making.
This program is structured in English language  into several interdependent blocks, each focusing on a specific aspect of patent analysis to ensure a thorough and logical learning progression.



Participants will gain theoretical knowledge and practical, hands-on experience through examples and workshops, ensuring they can apply their learning in real-world scenarios.
Upon completion of the program, the trainee will have developed skills to:
  • Increase your set of skills and knowledge. Learn what patents are, how to retrieve patent sets, design professional search queries, manage and interpret patent data.
  • Learn how to track technological trends, reduce the risk of innovation, and find opportunities for your business.
  • Understand how and when to leverage patents for your competitive advantage. Gain insights into your competitors' activities, strategies. Stay aware of the technological landscape.
  • Together, we will put our hands at work and familiarize with the best open access IP tools.


Each block includes a combination of lectures, practical workshops, and real-world examples to ensure that participants not only understand the theoretical aspects of patent analysis but also gain hands-on experience in applying their knowledge. The flexible structure of the course allows participants to progress at their own pace while ensuring a comprehensive learning experience that equips them with the skills necessary for effective patent analysis.
1.Introduction to Patent Analysis
The first block of the program provides students with essential theoretical knowledge for understanding subsequent modules. It covers the basics of creating queries, using patent analysis tools, managing datasets, and interpreting patent data. This block has two sessions: the first introduces patent searches, explaining their importance and the processes involved; the second delves into the structure of patents and their bibliographic data. By the end, students will understand what patents are, what information hides within, and will own all the necessary theoretical building blocks that will prepare them for advanced topics in later modules.
2.Designing and Refining Search Queries and Tools for Patent Analysis
Block two covers the theoretical foundations of creating queries for patent analysis, focusing on Boolean and semantic logic. Through practical examples, students will learn to formulate effective queries using free open access tools. The block includes three sessions:
  • Theory of query construction, covering Boolean logic, semantic logic, stemming, keywords, and synonyms.
  • Introduction to various free open access patent analysis tools and their functionalities.
  • A hands-on workshop where students use these tools to query databases and retrieve patent sets.
The goal is to equip students with the skills to construct effective queries, understand the features of each tool, and select the most suitable one for their research objectives, optimizing their patent search strategies.
3.Data Management and Visualization:
Block three focuses on managing large volumes of data extracted from patent databases, ensuring clean and reliable datasets. It addresses challenges like term disambiguation and merging patent sets from various tools through four sessions:
  • Understanding the dataset's characteristics and complexities.
  • Techniques for dataset quality enhancement, including disambiguation to remove duplicates and ambiguities.
  • Merging results from different sources for a complete and accurate dataset.
  • Data visualization solutions for effective exploration and presentation of findings.
The goal is to equip students with skills to clean, refine, and visualize patent data, enabling meaningful insights and informed decision-making.
4.Interpreting Patent Analysis Results
The final block of the course focuses on interpreting data retrieved from patent analysis tools, demonstrating their strategic value through a real case study. It guides participants in examining strategic questions during a company's growth, spanning two periods: pre-2002 and 2002-2012. This block aims to equip students with skills to leverage patent analytics for strategic decision-making and understand the importance of data visualization techniques. By the end, participants will be able to apply their knowledge in real-world scenarios, making informed strategic decisions based on patent analysis insights.
Participants will apply their knowledge in a final evaluation survey.


This program is designed for a diverse audience, including professionals, students, and researchers in intellectual property and technology-driven fields. The modular structure allows participants to progress from basic concepts to advanced analytical techniques, ensuring a comprehensive learning experience tailored to varying levels of experience and professional needs.
 It caters to:
  • Beginners with no prior knowledge of patent data analysis.
  • Those with foundational understanding looking to deepen their expertise.


Details about the schedule will be announced soon. Stay tuned!


Tamara Besednjak Valič

Faculty Of Information Studies In Novo Mesto

e-mail: tamara.valic@fis.unm.si


Virág Szuák

Pannon Business Network Association

e-mail: virag.szuak@pbn.hu