Linking Publications to Funding at Project Level: A curated dataset of publications reported by FP7 projects
Alexis-Michel Mugabushaka

TL;DR
This paper presents a curated, comprehensive dataset linking publications to EU FP7 funded projects, enabling better bibliometric analysis of research impact and funding effectiveness.
Contribution
The paper introduces the first extensive, validated dataset of publications reported by FP7 projects, improving data quality and linking scholarly outputs to funding sources.
Findings
93% record validation achieved
90% of records assigned DOIs
245,000 unique DOIs linked to projects
Abstract
Datasets explicitly linking publications to funding at project level are the basis of evaluative bibliometric analysis of funding programmes. Analysis of the impact of the EU funding programmes has been often frustrated by the lack of data on publications to which the funding has contributed. Here we present a dataset of scholarly publications reported by the projects funded by the European Union under the 7th Framework Programme. The dataset was created by first consolidating data from different reporting channels and validating the records by systematically matching them to external authoritative sources and assigning them external identifiers. The initial dataset had 305k records linked to one or more projects out of which 69% had a digital object identify (doi). Through the data quality assurance, we validate 93% of the initial records (283k) and assign a doi to 90% of them of them…
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Taxonomy
Topicsscientometrics and bibliometrics research · Research Data Management Practices
