BOBCATSSS is an international annual symposium which addresses hot topics for librarians and information professionals in a fast-changing environment. It is created by and for students, teachers, researchers and professionals in the information field. BOBCATSSS is held under the auspices of BOBCATSSS Association (former EUCLID - European Association for Library and Information Education and Research). 

It is a tradition which has been passed on from one European country to another since 1993, providing a rich professional conference, accompanied by numerous opportunities for networking, personal exchanges, discussions, and learning. 

The 30th BOBCATSSS will be held in a HYBRID FORM between 23 and 25 May 2022 at the University of Debrecen, Debrecen, Hungary.

It is jointly organized by the University of Debrecen, Hungary and University of Applied Sciences and Arts Hannover, Germany (Faculty III: Media, Information and Design).


The main theme of the conference is Data and Information Science.


The subthemes of the event are:

Data Science

  • Scientometrics
  • Knowledge Discovery for Decision and Policy Making
  • Information and Data Literacy
  • Data Privacy and Security
  • Scientometrics, Bibliometrics
  • Big Data and Data Mining
  • (Responsible) Artificial Intelligence
  • Data Visualization
  • Presentation of Data and Information in Virtual Spaces
  • Data Science and Cognitive Infocommunications (CogInfoCom)
  • Human-Computer Interaction and Data Science
  • Intelligent Knowledge Production


  • Open Science, Open Access and Knowledge Justice
  • Open (Government) Data
  • FAIR Data
  • Semantic Web and Linked Open Data
  • Citizen Science and Collaborative Knowledge Production
  • Sustainability

Institutional Roles

  • Tools, Techniques and Applications of Data Science
  • Information Management
  • Development of Data and Information Services
  • The Role of Libraries and Librarians in the Data Science Movement
  • Data Science from the Knowledge Management Perspective
  • Data Science in Education and Training
  • Training for Data and Information Scientists
  • Knowledge and Skills of the Data Professionals

Types of contributions

  • Presentation
  • Poster
  • Pecha Kucha
  • Workshop

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