Transfer of Metadata into the National Information System of Scientific Research Activities with Automatic Authorship Association

Abstract

Existing and alternative CRIS (Current Research Information System) systems, which deal with solving the problem of tracking scientific research productivity in Serbia, have proven to be incomplete. Additionally, they require too much user time to achieve the required level of data quality. The new national information system for scientific research activities, named eNauka (eScience), through the application of modern methodologies, integration of external services, and process automation, should provide higher quality metadata and efficiency in the work of all its users. Higher quality metadata implies that eNauka will ensure recognition of syntactic correctness and fill in missing values for that metadata where this can be reliably and automatically achieved. The result of higher-quality metadata enables the system to apply more reliable complex operations such as duplicate recognition or authorship association. With the idea of not discarding previously collected and verified data, eNauka aims to integrate all systems that can implement the OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) protocol and meet the minimum level of metadata quality. To save time in downloading and assigning records to research profiles and research organizations, eNauka utilizes techniques of automatic association and authorship recognition using persistent identifiers and similarity algorithms.