Abstract

OMEGA-PSIR is the system combining functionalities of the Current Research Information System (CRIS), Institutional Open Access Repository (IOAR), and Researchers Profiling System (RPS). It has been developed in 2010 at the Warsaw University of Technology. It is now the leading CRIS system in Poland, used by more than forty universities. The system aggregates all kinds of information related to scientific research activities, such as projects, publications, patents, artwork, PhD theses, research data, organized conferences, and seminars. The various metadata are stored along with accompanying full-text documents, data files, and multimedia. All the data are interlinked building a semantic network. Based on the data, data connections, and the full text deposited in the repository the system builds various profiles, starting with the researcher profiles, through the team’s profiles, and ending with the profile of the university. On top of this, the system provides many advanced analytics, showing the efficiency of the run projects and providing an assessment of research performed.

One of the core functionalities is to support the administration of the research office. The whole research project lifecycle is covered, starting from registering grant application, and then supporting the processes of the project administration, including the support for collecting project outputs and reporting. Yet another functionality is foreseen for the researchers in order to provide an opportunity to improve the quality of project applications and then the execution. In particular, based on the gathered profiles, the system makes it simpler to build strong teams. One of the functions is the possibility to search for experts in a given domain and monitor the networking of the experts.

The most recent two functionalities aim at improving the quality of the project applications so that the number of acquired grants should grow essentially at Warsaw University of Technology.
The first one is building a project recommender for automating suggestions for the calls that are suitable for the given researcher with the current achievements at the current carrier stage. The system uses an AI approach, and the recommendations are made based on the content deposited in the system (including the history of successful applications.

The second one is the Mentoring Module, which aims at creating a communication channel between University “mentors” experienced in project implementation and (usually younger) researchers applying for grants or those implementing them. The cooperation of researchers applying for grants with the mentors gives rise to higher quality applications. Gratifying mentors in the manner specified by the University authorities is also assumed.

During the presentation, we will describe in detail the assumptions of the program as well as the operation of the system.