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Sylvie Cocaud

Open Context - 1 views

shared by Sylvie Cocaud on 20 Jun 13 - No Cached
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    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
Véronique Batifol-Garandel

Citation and Peer Review of Data: Moving Towards Formal Data Publication | Lawrence | International Journal of Digital Curation - 2 views

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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.
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