From CRIS to RPS - discovering research potential form research management systems; Omega-PSIR Experience

Jakub Koperwas, Łukasz Skonieczny, Wacław Struk, Henryk Rybiński

Keywords: Current Research Information System, Research Profiling System, OMEGA-PSIR, Visualizations, recommendation engines, Ontology

TL;DR: We would like to share our experience in building a robust research profiling system that relies on complete and reliable data, basing on 20+ deployments of Omega-PSIR Open Software in Poland

Abstract:

CRIS systems are becoming a mandatory element of University Information ecosystems. CRIS provides significant amenities for reporting routines for research councils, national authorities, employee evaluation, academic degrees communities and provide valuable insights for university management. Properly implemented (in terms of Organization) CRIS system becomes a source of complete and reliable data going far beyond projects and publications thus providing more profiling capabilities than for instance crowd-based systems like ResearchGate.

Developing OMEGA-PSIR CRIS system at Warsaw University of Technology, which is now free and Open System used in 20+ Universities in Poland we thought about research visibility at the same priority as reporting. By applying Text Mining, Artificial Intelligence, external ontologies but also organizational regimes, we obtained a robust profiling systems that allows searching for experts, modelling and visualising research teams, intelligent discipline matching, multi-purpose and multi-source researchers rankings, and many others.

We would like to share our experiences in building a robust RPS system that relies on complete and reliable data, basing on 20+ deployments of Omega-PSIR Open Software in Poland

ORCID: 0000-0003-0693-5109

Submission Type: presentation proposal