
This technical report documents the final deliverable of the FEDRA project, Task 1, which aims to support the integration of the Politecnico di Torino research information system with external open scholarly infrastructures within a FAIR-aligned institutional metadata lake. We describe a proof-of-concept pipeline to reconcile author and work records stored in institutional databases with corresponding entities in OpenAlex, combining identifier-based linking (ORCID/DOI) with similarity-based matching when identifiers are missing or inconsistent. We report validation experiments on curated samples and provide summary statistics on matching performance. Finally, we compare the availability of works across OpenAlex and Scopus for a selected subset of researchers, discussing observed coverage gaps and recurrent edge cases relevant for institutional metadata enrichment and quality control.
open search, FAIR principles, open science, metadata lake, COARA, Data lake
open search, FAIR principles, open science, metadata lake, COARA, Data lake
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
