Search features
OMEGA-PSIR is equipped with very powerful seach capabilities, based on the SOLR technology. For each object type there is a screen with simple search (google-like), and advanced search. The index is built from metadata records and, whenever applicable, from the attached full text documents.
Objects in the Knowledge Base are connected to each other using various relationships, so that they create a semantic network, which can be see as a graph structure. Searching in the system can be performed in two ways (see Search Modes ):
by taking into account the graph structure and indicating in the query how particular types of objects should be combined - this is a graph search
by ignoring the graph structure and treating individual network elements as related texts, the text of the publication's description is "extended" by the text of the person's description and we perform a search in such extended texts - we then have a text search.
The search results can be adjusted to the user profile, so the answer can be built taking into account the researcher’s “fingerpring” of his/her research. What is very specific for the system, one can use the obtained answer for building a specific report (bibliography, pivot showing a statistics of the contribution to the subject by faculties, etc.).
Profiles
As OMEGA-PSIR covers functionality of Research Profiling, one of the main features of the system is automatic building various profiles, such as the profiles of researchers, and units constituting the formal hierarchical structure of the university.
The profiles characterize research achievements of the body, providing lists of publications, patents, promoted theses, activities, prizes and awards, bibliometric measures of the research, cooperation information and statistics. Once an achievement record of a researcher (publication, thesis, patent) is created (and/or deposited), it automatically appears in the profile of the researcher, and in the profile of his /her affiliation profile, as well as in the profiles on all the higher hierarchy levels. If the achievement has coathors, it also goes automatically to the coauthors and their afiliations profiles.
The entered achievements are used to automatically build a cloud of tags at researcher’s profiles and all the units profiles. The cloud of tags is a kind of “fingerprint” characterizing very precisely the research area of the researcher. In addition to the researchers and units profiles, one can define profiles for the main scientific disciplines that are practiced at the university. These profiles may go across the faculties and departments.
Data management
In OMEGA-PSIR the data management facilities are very powerful. The system provides means for
importing data from various sources, both bibliographic and auxiliary ones (which makes the data entry process much cheaper). For example data can be imported from global scientific database, like e.g. SCOPUS, WoS, PubMed), from patents database (EPO), CrossRef, DataCite, ORCID, also from other OMEGA-PSIR based knowledge bases (which makes possible building the federated portals, see Polish Medical Platform);
enriching existing data with data from external resources (e.g. gathering bibliometric data from Scopus, WoS or integrating journals with Sherpa-Romeo to get information about openess strategy of the journals),
acquiring multimedia data from Youtube
importing XML files from web or from a desktop - special tools are available to translate XML to the requested formats.
Manual data entry by librarians and trained users
self depositing data by researchers
One can define workflow for data entry processes
Strong duplicate discovery procedures are available
For manual data entry staff strong validation control tools are provided. The validation procedures aredefinable by the system administration.
Statistics and reports
Various ready-to-use statistics are available on the profiles