General information

Owned by Henryk Rybinski
Last updated: Jan 02, 2024
2 min read

This manual is addressed to the university staff responsible for administering the system. The University Knowledge Base integrates the functionalities of Institutional Repository for bibliographic data and for research data (IR), with the functionality of Current Research Information System (CRIS), and Researchers Profiling system (RPS).

As in case of CRIS (Current Research Information System) systems, the Knowledge Base System is used to collect descriptions of the basic achievements of scientific and research activities of employees of the institutions. Therefore, the data structures of the system reflect the concept of the CERIF data exchange format for scientific activities.

 

Therefore, the construction of the Knowledge Base is based on three basic data structures:

  • Description of the university structure

  • Description of scientists, PhD students and (optionally) diploma students - scientist profile

  • Description of the achievements of scientists, doctoral students and students - effects of scientific activity

The description of the university's structure is related to the research infrastructure:

  • laboratories

  • research equipment

Moreover, the activities of the university as a whole cover

  • published journals

  • organized conferences

The presentation of a scientist and his achievements is carried out by recording:

  • Text documents

    • publications (articles, books, scripts),

    • diploma theses (engineering, master's, doctoral)

    • reports

    • translations

  • works (architectural works, works)

  • research data

  • applications for projects

  • projects

  • patents

  • professional activity

  • prizes and awards

  • technologies, products, implementations

As the system covers the entire process related to scientific activity, competitions announced by institutions financing grants can optionally be registered in the system.

Data structures are defined in XML. Their semantics is, on the one hand, subordinated to the university needs and, on the other hand, to international standards. In terms of bibliographic descriptions, this applies to the Anglo-American Cataloguing Rules (AACR), and in terms of enabling harvesting bibliographic data, it is the Dublin Core format.

Data structures are made available in the form required by the Semantic Web concept, i.e. in the form of Linked Open Data (LOD).