Blogpost by Michał Starczewski and Lidia Stępińska-Ustasiak   Report by  Wojciech Fenrich, Tomasz Lewandowski, Krzysztof Siewicz, Michał Starczewski, Lidia Stępińska-Ustasiak, and Jakub Szprot (editor). The Open Science Platform (ICM, University of Warsaw) has recently published a report “Open Access and research institutions”. The focus of the report is on the basic issues related to open access from the perspective of research institutions. Some more sophisticated and technical aspec...

The RDA 6th Plenary meeting recently took place in Paris, 23-25 September, with the theme "Enterprise Engagement with a focus on Research Data for Climate Change". It was a full week for OpenAIRE, with our Advisory Board meeting taking place in Paris on the 21st and a pre-plenary workshop with the theme “Data and computing infrastructures for open scholarship” organised by our Director Natalia Manola on the 22nd (full report to follow - watch this space!). We here present some highlights of the ...

The purpose of this article is to sketch the technical issues behind duplicate identification in the context of the OpenAIRE infrastructure. Duplicate identification, to be followed by merging of duplicates, is the most important phase of the deduplication process. The major challenge in duplicate identification is the trade off between efficacy, i.e. ability to identify all possible groups of duplicates, and efficiency, i.e. time to process. Our intention is to explain the reasons of possible i...

The purpose of this article is to sketch the technical issues behind duplicate identification in the context of the OpenAIRE infrastructure. Duplicate identification, to be followed by merging of duplicates, is the most important phase of the deduplication process. The major challenge in duplicate identification is the trade off between efficacy, i.e. ability to identify all possible groups of duplicates, and efficiency, i.e. time to process. Our intention is to explain the reasons of possible i...

Recently in Athens there was an impressive kick-off of the OpenAIRE2020 project, during which we presented OpenAIRE’s plans in the area of text and data mining of scholarly publications. Publications contain all kinds of rich information, which, although understandable to a human reader, are not machine-readable and thus cannot be used directly for indexing and recommending purposes. Authors’ affiliations, document classifications, references to biological and chemical databases, acknowledgement...