The primary goal of the Knowledge Base of the University of Opole is to provide information and promote the achievements of the University's employees and organizational units. Its core is the Publications Register of the University of Opole and the Repository of the University of Opole. The Repository of the University of Opole archives in a digital version full texts of publications, including: monographs, magazine articles, book chapters, doctoral theses , as well as texts of works constituting the basis for awarding scientific degrees and titles. The resources contain information about ongoing scientific, research and implementation works , patents , teaching materials, unpublished materials and multimedia. From August 1, 2022 the Projects module was launched in the UO Knowledge Base . The module collects information on applications submitted and projects implemented at the University of Opole, as part of programs and competitions operated by the Office of Science and Project Service of the University of Opole. The UO Knowledge Base is a reporting tool for the Polish Scientific Bibliography portal, which is part of the Integrated Information System on Science and Higher Education POL-on. The type, scope and nature of data entered into the Science Information System result from the statutory obligation specified in Art. 354 of the Act of July 20, 2018, Law on Higher Education and Science (Journal of Laws 2018: 1668, as amended) and the Regulation of the Minister of Science and Higher Education of March 6, 2019 issued on its basis data processed in the Integrated Information System on Higher Education and Science POL-on (Journal of Laws 2019: 496).

The BBMRI-ERIC CRC-Cohort is a large, retrospective, multi-center cohort study that aims to facilitate research on novel biomarkers for the early detection, prognosis, and treatment of colorectal cancer (CRC). The cohort is composed of 10,792 individuals with a confirmed diagnosis of CRC and comprehensive data and biological material available for research purposes. The cohort has broad European coverage with 26 contributing biobanks from 12 countries. A medium-depth phenotypical/clinical data model has been defined and patient-level data have been collected centrally at BBMRI-ERIC, with additional rich data and biological material hosted in the contributing biobanks. The BBMRI-ERIC biobanks have been used to ensure the highest quality biospecimens and data. The cohort data includes digital scans of histopathological slides to support research in artificial intelligence in digital pathology.