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Linking Publications to Funding at Project Level: A curated dataset of publications reported by FP7 projects
arXiv - CS - Digital Libraries Pub Date : 2020-11-16 , DOI: arxiv-2011.07880
Alexis-Michel Mugabushaka

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 2 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 299.000 records linked to one or more projects out of which 68% had a digital object identify (doi). Through the data quality assurance, we validate 92% of the initial records (277000) and assign a doi to 89% of them of them (267000). The resulting dataset has 240000 unique dois. It is, to our knowledge, the first comprehensive and curated dataset of scholarly outputs of the Framework Programme. The dataset could only be created thanks to significant improvements and investments made in the reporting systems used by EU funded projects. The dataset is available on zenodo: https://doi.org/10.5281/zenodo.4275528

中文翻译:

将出版物与项目级别的资金联系起来:FP7 项目报告的出版物精选数据集

明确将出版物与项目级别的资金联系起来的数据集是对资助计划进行评估性文献计量分析的基础。对欧盟资助计划影响的分析常常因缺乏有关资助所贡献的出版物的数据而受挫。在这里,我们展示了由欧盟在第 7 框架计划下资助的项目报告的学术出版物数据集 2。数据集的创建首先是整合来自不同报告渠道的数据,并通过系统地将记录与外部权威来源进行匹配并为其分配外部标识符来验证记录。初始数据集有 299.000 条记录与一个或多个项目相关联,其中 68% 具有数字对象标识 (doi)。通过数据质量保证,我们验证了 92% 的初始记录 (277000),并为其中的 89% (267000) 分配了 doi。生成的数据集有 240000 个独特的 dois。据我们所知,这是框架计划学术成果的第一个综合性和策划数据集。由于对欧盟资助项目使用的报告系统进行了重大改进和投资,才能创建该数据集。该数据集可在 zenodo 上获得:https://doi.org/10.5281/zenodo.4275528
更新日期:2020-11-17
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