Fig. 1

Software-Architecture. All global (non-project-specific) data and its associated procedures for both integration of raw bibliometric data and algorithmic gender analysis are managed centrally in a Microsoft-SQL-Server database (left). The data is provided to downstream Windows clients (middle) hosted within the LAN (arrow 1). These remote Windows clients – representing the working environment for the scientists - include all project-specific data like publications, authors, subject areas, institutions, cities and countries, related bibliometric indices, the statistical evaluation and figure plots. Additionally, the system allows the user to make client-side updates to the database in the sense of a global learning function improving subsequent integration/identification processes (arrow 2). To complement this database supported offline integration yet unresolved/unidentified items are evaluable by applying the integrated online web services (right) like BingMapSearch, GoogleMaps and Google (arrow 3). The chosen software architecture ensures the implementation of a simultaneous multi-user system