OpenAIRE - Building a collaborative Open Access infrastructure for European researchers

Abstract

This paper outlines the efforts of the OpenAIRE networking team to establish a Europe-wide open access initiative. OpenAIRE is an effort to realize the open access policies of the European Commission, and has built an infrastructure to support the widest possible dissemination of project results within a certain funding area, FP7. The purpose of the paper is to highlight how such a service can be established through the work of a successful network of European open access desks and by effective communication with a range of stakeholders. The paper also outlines the flexible technical infrastructure and research activities within the project. Not without its challenges, the approaches to tackling existing barriers, such as achieving repository interoperability, are explored. The paper also introduces the aims and initial activities of the continuation project, OpenAIREplus.

Using Machine Learning to Collect and Facilitate Remote Access to Biomedical Databases: Development of the Biomedical Database Inventory

“…Given that we only considered articles providing URLs, the resulting repository acts as a direct link between the papers and the actual data sets; it then essentially becomes a bridge between research and data, as proposed in earlier studies. In particular, Hoogerwerf et al [ 17 ] described the efforts made by the OpenAIRE initiative [ 18 ] to promote discipline-independent linking practices between publications, data, project information, and researchers. BiDI complies with these guidelines and, in the future, it could be expanded to integrate project metadata and author information.…”

L'estat actual de l'accés obert

“…També existeixen els recol•lectors, que són els repositoris que només recullen les metadades d'altres repositoris per tal de facilitar-ne la cerca i augmentar-ne la visibilitat. Un exemple de recol•lector és OpenAIRE, creat per recollir les metadades de repositoris europeus [5]. Per tant, si les infraestructures estan preparades per donar suport a aquesta estratègia caldrà veure si els investigadors les fan servir.…”

Classifying Document Types to Enhance Search and Recommendations in Digital Libraries

“…While automatic document categorisation using structural and content features has been previously widely studied [6][7][8], little work has been done on the issue of document type categorisation in the context of digital libraries until the recent study Caragea et al [9]. They experimented with (1) bag-of-words, (2) document URL tokens and (3) document structural features to classify academic documents into several types. Their set of 43 manually engineered structural features have shown significant performance gain over conventional bag-of-words models in these highly diverse data collections.…”

“…Consequently, digital library aggregators like CORE [1], OpenAIRE [2] and BASE [3] face the challenge of offering seamless SR systems over poor quality metadata supplied by thousands of providers. We hypothesise that by understanding the document type, we can increase user engagement in these services, for example, by means of filtering or re-ranking SR systems results.…”