Data Curation in the OpenAIRE Scholarly Communication Infrastructure

Abstract

Such information may be program funding (projects), associated datasets, related publications, citations, institutional affiliation, and also a different range of metrics indicating the scientific impact. To best exploit this range of research objects, they can manifest themselves in "enhanced publications." OpenAIRE 1 -the European Union initiative for an Open Access Infrastructure for Research in Europe-supports this enhanced form of open scholarly communication and provides access to the research output of European funded projects and open access content from a network of institutional and disciplinary repositories. Based on a series of European projects (DRIVER and DRIVER-II), Europe has built an extensive network of institutional repositories that follow a common path for interoperability via the publication and consistent use of guidelines. In its current status, OpenAIRE has aggregated more than eight million bibliographic records from over 400 providers of publications which are complemented by research data and research information, where and when the information is available.OpenAIRE moves beyond the traditional publications aggregator by interconnecting entities related to scholarly communication (currently limited to publications, research data, people, organizations, and their data sources) allowing users to navigate alongside a rich information space graph (Figure 1). It provides individual and aggregated statistics based on different facets, attributes, and linkages of the above entities. As of December 2010, OpenAIRE has been a key service of the EC's Seventh Framework Programme, at present extending to cover other funders and eventually all the European Research Area. As such, OpenAIRE users, i.e., researchers, funding organizations, and third-party services consuming information, expect to find consistent and qualitative metadata. This places data curation as a high priority, employing a series of activities both on the technical Scholarly communication is currently at a new phase where researchers' published results are more optimally shared, discovered, validated, and reused when they are exposed in their full context. This means that they are best accompanied by all the relative information that provides an insight and capacity to translate the research process and activities that have taken place. and networking levels. Data curation in OpenAIRE differs from similar activities in a data archive as it is mainly applied on the metadata level, needing to comprise heterogeneous data sources and is backed by complex organizational and technical support structures. It can also comprise of a range of actions and workflows, as will be demonstrated below. Data Curation in the OpenAIREOpenAIRE, as the pan-European infrastructure of all scientific results, faces two major challenges: diversity of scientific data and diversity of cultural approaches for good practices that span many national borders. To understand how expert research communities facilitate data curation mechanisms and carry out linking...

Open access uptake in Germany 2010–2018: adoption in a diverse research landscape

“…Since 2004, DINI has certified repositories against a comprehensive set of criteria (Müller & Schirmbacher, 2007). From the beginning, these criteria have been aligned with the OAI standards and related European standardisation efforts driven by the EU-funded projects DRIVER (Lossau & Peters, 2008), OpenAIRE (Schirrwagen et al, 2013) and the Confederation of Open Access Fig. 1 Study design: schematic display of gathering, matching, and preprocessing of data (read from left to right).…”

10. Que garder et pourquoi ?

“…L'une des principales gageures en matière de personnel est que l'essentiel des activités de gestion de données représente un travail invisible. Schirrwagen et al, 2013 ;ZENODO, 2013).…”

Qu’est-ce que le travail scientifique des données ?

“…Zenodo, qui est établi au CERN, est une composante d'OpenAIRE qui accepte les objets de recherche absents des autres référentiels. L'Australie a inscrit la gestion des données dans son code déontologique pour la recherche et a commencé dans ce but une infrastructure nationale qui comprend des référentiels, du personnel et différents partenariats avec des institutions (Australian National Data Service, 2014 ;National Health and Medical Research Council, 2007 ;Open Access Infrastructure for Research in Europe, 2014 ;Schirrwagen et al, 2013 ;ZENODO, 2013).…”