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33 Research products, page 1 of 4

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  • Open Access English
    Authors: 
    Najla Rettberg; Birgit Schmidt;
    Publisher: openjournals.nl
    Country: Germany
    Project: EC | OPENAIREPLUS (283595), EC | OPENAIRE (246686)

    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 contacts 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 approach to tackling existing barriers, such as building repository interoperability, are explored. The paper also introduces the aims and initial activities of the continuation project, OpenAIREplus.

  • Open Access English
    Authors: 
    Bardi A.; Manghi P.;
    Publisher: Saur., Munich, Germania
    Country: Italy
    Project: EC | OPENAIREPLUS (283595)

    "Enhanced publications" are commonly intended as digital publications that consist of a mandatory narrative part (the description of the research conducted) plus related "parts", such as datasets, other publications, images, tables, workflows, devices. The state-of-the-art on information systems for enhanced publications has today reached the point where some kind of common understanding is required, in order to provide the methodology and language for scientists to compare, analyse, or simply discuss the multitude of solutions in the field. In this paper, we thoroughly examined the literature with a two-fold aim: firstly, introducing the terminology required to describe and compare structural and semantic features of existing enhanced publication data models; secondly, proposing a classification of enhanced publication information systems based on their main functional goals.

  • Open Access Czech
    Authors: 
    Daniela Tkačíková;
    Publisher: Albertina Icome Praha
    Country: Czech Republic
    Project: EC | OPENAIREPLUS (283595)
  • Open Access English
    Authors: 
    Maarten Hoogerwerf; Mathias Lösch; Jochen Schirrwagen; Sarah Callaghan; Paolo Manghi; Katerina Iatropoulou; Dimitra Keramida; Najla Rettberg;
    Publisher: UKOLN, Bath , Regno Unito
    Countries: Italy, Germany, Italy, Italy, Netherlands, Netherlands, Italy
    Project: EC | OPENAIREPLUS (283595), EC | OPENAIRE (246686), EC | OPENAIREPLUS (283595), EC | OPENAIRE (246686)

    In this paper, we tackle the challenge of linking scholarly information in multi-disciplinary research infrastructures. There is a trend towards linking publications with research data and other information, but, as it is still emerging, this is handled differently by various initiatives and disciplines. For OpenAIRE, a European cross-disciplinary publication infrastructure, this poses the challenge of supporting these heterogeneous practices. Hence, OpenAIRE wants to contribute to the development of a common approach for discipline-independent linking practices between publications, data, project information and researchers. To this end, we constructed two demonstrators to identify commonalities and differences. The results show the importance of stable and unique identifiers, and support a ‘by reference’ approach of interlinking research results. This approach allows discipline-specific research information to be managed independently in distributed systems and avoids redundant maintenance. Furthermore, it allows these disciplinary systems to manage the specialized structures of their contents themselves.

  • Open Access
    Authors: 
    Theodoros Giannakopoulos; Ioannis Foufoulas; Elefterios Stamatogiannakis; Harry Dimitropoulos; Natalia Manola; Yannis Ioannidis;
    Publisher: CNRI Acct
    Project: EC | OPENAIREPLUS (283595), WT , EC | OPENAIREPLUS (283595), WT

    Text visualization is a rather important task related to scientific corpora, since it provides a way of representing these corpora in terms of content, leading to reinforcement of human cognition compared to abstract and unstructured text. In this paper, we focus on visualizing funding-specific scientific corpora in a supervised context and discovering interclass similarities which indicate the existence of inter-disciplinary research. This is achieved through training a supervised classification � visualization model based on the arXiv classification system. In addition, a funding mining submodule is used which identifies documents of particular funding schemes. This is conducted, in order to generate corpora of scientific publications that share a common funding scheme (e.g. FP7-ICT). These categorized sets of documents are fed as input to the visualization model in order to generate content representations and to discover highly correlated content classes. This procedure can provide a high level monitoring which is important for research funders and governments in order to be able to quickly respond to new developments and trends.

  • Open Access English
    Authors: 
    F.Ch. Tsimpoglou; Vasiliki (Sylvia) V. Koukounidou; L.A. Prokopiou;
    Publisher: Multi Science Publishing
    Country: Cyprus
    Project: EC | OPENAIREPLUS (283595), EC | OPENAIREPLUS (283595)

    The paper presents the introduction of Open Access movement in the Academic environment, pros and cons of the adoption of OA by Universities and how the European Union is enforcing the use of Open Access. The ways of implementing OA, the policies of publishers and journals regarding the deposits of publications and the RoMEO and Juliet projects are also referred in an effort to give an overview of the conditions in exploiting Open Access, either as authors, publishers or end users. The adoption of the Berlin declaration on Open Access to Knowledge in the Sciences and Humanities by the Senate of the University of Cyprus is commented in the paper. Furthermore an analysis of the projects OpenAIRE and OpenAIREplus in which the University of Cyprus Library is involved is provided. University of Cyprus Library, 75 Kallipoleos Str. P. O. Box 20537 1678 Nicosia, Cyprus.

  • Open Access English
    Authors: 
    Mateusz Kobos; Łukasz Bolikowski; Marek Horst; Paolo Manghi; Natalia Manola; Jochen Schirrwagen;
    Publisher: Elsevier, Amsterdam , Paesi Bassi
    Countries: Germany, Italy, Italy, Italy, Italy
    Project: EC | OPENAIREPLUS (283595), EC | OPENAIREPLUS (283595)

    The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable data processing workflows whose nodes offer application-specific processing capabilities. The IIF is designed for the purpose of processing big data, and it is implemented on top of Apache Hadoop-related technologies to cope with scalability and high-performance execution requirements. As a proof of concept we will describe how the framework is used to support linking and contextualization services in the context of the OpenAIRE infrastructure for scholarly communication. (C) 2014 The Authors. Published by Elsevier B.V.

  • Open Access Portuguese
    Authors: 
    Príncipe, Pedro; Rodrigues, Eloy;
    Publisher: BAD
    Project: EC | OPENAIREPLUS (283595)

    �� detalhada a Infraestrutura de Acesso Aberto para a Investiga����o na Europa ��� OpenAIRE ��� que resulta dos desenvolvimentos no ��mbito dos projetos europeus OpenAIRE e OpenAIREplus desde dezembro de 2009 at�� 2014. Os dois projetos que desenvolveram a infraestrutura visaram apoiar a implementa����o do Acesso Aberto na Europa, fornecendo os meios para promover e realizar a ado����o das Pol��ticas de Acesso Aberto da Comiss��o Europeia, especificamente para o 7�� programa-quadro e Horizonte 2020. A infraestrutura consubstancia-se num sistema integrado de informa����o cient��fica ao servi��o da implementa����o do Acesso Aberto, constru��do de forma participativa com base num servi��o robusto de rede de reposit��rios em expans��o, para interligar publica����es cient��ficas, os conjuntos de dados associados e informa����o dos programas de financiamento. Cadernos BAD, N.�� 2 (2014): Atas da 5�� Confer��ncia Luso-Brasileira sobre Acesso Aberto

  • Open Access
    Authors: 
    Dominika Tkaczyk; Pawel Szostek; Mateusz Fedoryszak; Piotr Jan Dendek; Lukasz Bolikowski;
    Publisher: Springer Science and Business Media LLC
    Project: EC | OpenAIRE2020 (643410), EC | OPENAIREPLUS (283595), EC | OpenAIRE2020 (643410), EC | OPENAIREPLUS (283595)

    CERMINE is a comprehensive open-source system for extracting structured metadata from scientific articles in a born-digital form. The system is based on a modular workflow, whose loosely coupled architecture allows for individual component evaluation and adjustment, enables effortless improvements and replacements of independent parts of the algorithm and facilitates future architecture expanding. The implementations of most steps are based on supervised and unsupervised machine learning techniques, which simplifies the procedure of adapting the system to new document layouts and styles. The evaluation of the extraction workflow carried out with the use of a large dataset showed good performance for most metadata types, with the average F score of 77.5 %. CERMINE system is available under an open-source licence and can be accessed at http://cermine.ceon.pl. In this paper, we outline the overall workflow architecture and provide details about individual steps implementations. We also thoroughly compare CERMINE to similar solutions, describe evaluation methodology and finally report its results.

  • Publication . Report . Other literature type . Article . 2019
    Open Access
    Authors: 
    Manghi, Paolo; Bardi, Alessia; Atzori, Claudio; Baglioni, Miriam; Manola, Natalia; Schirrwagen, Jochen; Principe, Pedro;
    Countries: Italy, Germany, Italy, Italy, Italy
    Project: EC | OpenAIRE-Advance (777541), EC | OpenAIRE-Connect (731011), EC | OPENAIREPLUS (283595), EC | OpenAIRE2020 (643410), EC | OPENAIRE (246686), EC | OpenAIRE-Advance (777541), EC | OpenAIRE-Connect (731011), EC | OPENAIREPLUS (283595), EC | OpenAIRE2020 (643410), EC | OPENAIRE (246686)

    The purpose of the European OpenAIRE infrastructure is to facilitate, foster, support, and monitor Open Science scholarly communication in Europe. The infrastructure has been operational for almost a decade and successful in linking people, ideas and resources in support of the free flow, access, sharing, and re-use of research outcomes. To this aim it offers dissemination and training on Open Access and Open Science, facilitates exchange of knowledge, and operates the technical services required to facilitate and monitor Open Science publishing trends and research impact across geographic and discipline boundaries. OpenAIRE services populate a research graph whose objects are scientific results, organizations, funders, communities, organizations, and data sources. In this article we describe the data model, inspired by several existing metadata standards.

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