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This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets. Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to receive academic credit for their work and will allow the conclusions arising from an analysis to be more readily verifiable, thus promoting transparency in the scientific process. Peer review of data will also provide a mechanism for ensuring the quality of datasets, and we provide suggestions on the types of activities one expects to see in the peer review of data. A simple taxonomy of data publication methodologies is presented and evaluated, and the paper concludes with a discussion of dataset granularity, transience and semantics, along with a recommended human-readable citation syntax. PDF de l'article en libre accès.

Dominique tu as déjà partagé cet article (14 jun)

Article de 2008 Dans cet article, les auteurs plaident pour la formalisation du partage des données , à l'image de ce qui existe pour la publication des résultats de recherche. L'objectif est de proposer un système de Peer Review pour la publication de larges jeux de données en agriculture. A cette fin, ils proposent la mise en place de critères permettant d'évaluer l'intérêt de la publication de jeux de données : l'originalité, l'utilité et l'importance, la qualité et le caractère « réutilisable » . Ils abordent également le dispositif de déploiement des données qui doit assurer leur identification , leur accessibilité à long terme, dans le respect de la propriété intellectuelle, et permettre éventuellement certaines modifications.

Workshop at the British Library, 11/03/2013. DPR workshop - summary recommendations

Open Context publishes data contributed by researchers through a process that reviews, edits, and aligns data to standards. Major aspects of publishing with Open Contexct include: - Excavation, survey and collections data published in a citable venue - Data safeguarded and preserved though archiving with the University of California's California Digital Library - Expert editorial and peer review of your project's data - Tools to track citations of your data along with your other publications - All data published free and open access for barrier-free search, discovery and analysis - Data aligned to key "Linked Open Data" standards to facilitate future analyses, data integration, visualization, and understanding Domaine : archaeological datasets and museum collections Fournit un ensemble de services à haute valeur ajoutée. Utilise les méthodes des Linked Open Data : annotation des données avec : - Geographic places reference GeoNames.org and Pleiades - Biological taxa reference the Encyclopedia of Life - Units of measurement reference Freebase identifers - Biological morphology references use UBERON

Présentation ppt - IASSIST, Cologne, 2013/05/31 Intègre différentes questions : - qu'est ce qu'est un data paper/article - comment le soumettre ? - liste de journaux qualifiés de Data Journals - projet PREPARDE (Peer Review for Publication & Accreditation of Research Data in the Earth Sciences) - projet PRIME (Publisher, Repository and Institutional Metadata Exchange) - projet JoRD