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Blanke T.,Kings College London | Bryant M.,Kings College London | Hedges M.,Kings College London | Aschenbrenner A.,Austrian Academy of Sciences | Priddy M.,Data Archiving and Networked Services DANS
Proceedings - 2011 7th IEEE International Conference on eScience, eScience 2011 | Year: 2011

This paper analyses the results of the technical and scientific work in the DARIAH preparatory phase, a European infrastructure for digital arts and humanities. We were looking for an infrastructure model that would allow for the integration of services built around communities. To this end, DARIAH will be developed as a social marketplace for services. The paper presents the design decision we made and our proof-of-concept demonstrators and experiments. © 2011 IEEE.

Jansma E.,Netherlands Cultural Heritage Agency Rijksdienst voor het Cultureel Erfgoed | Jansma E.,University Utrecht | Jansma E.,Netherlands Center for Dendrochronology | van Lanen R.J.,Netherlands Center for Dendrochronology | And 2 more authors.
Dendrochronologia | Year: 2012

Existing on-line databases for dendrochronology are not flexible in terms of user permissions, tree-ring data formats, metadata administration and language. This is why we developed the . Digital Collaboratory for Cultural Dendrochronology (DCCD). This TRiDaS-based multi-lingual database allows users to control data access, to perform queries, to upload and download (meta)data in a variety of digital formats, and to edit metadata on line. The content of the DCCD conforms to EU best practices regarding the long-term preservation of digital research data. © 2012 Elsevier GmbH.

Gueret C.,Data Archiving and Networked Services DANS
ACM International Conference Proceeding Series | Year: 2013

Research used to be a black-box process from which the research article was the only visible output. Things are changing now and these boxes are being open for sharing the artefacts they contain. The question then raises of how to best share this artefacts on the Web. In this paper we discuss how Digital Archives can play a key role as a versatile data sharing platform exposing and interlinking all the artefacts of a given research process.

Brinkkemper O.,Cultural Heritage Agency | van der Maaten L.,University of California at San Diego | van der Maaten L.,Technical University of Delft | Boon P.,Data Archiving and Networked Services DANS
Vegetation History and Archaeobotany | Year: 2011

Despite their name, the identification of seeds of Myosotis species (forget-me-not) has hitherto received little attention from archaeobotanists. In an attempt to assemble a collection of reliable identification criteria, digital image analysis was applied to photographs of Myosotis seeds by means of Fovea Pro 4.0. This program computes 23 features that describe the size and shape of the seeds shown in scale-normalized photographs. We computed the features for 1,453 individual seeds, and performed statistical analyses of the resulting data set with Discriminant Analysis, Correspondence Analysis, and t-Distributed Stochastic Neighbour Embedding (t-SNE). The combination of analyses provides clues as to how most of the seven western European species of Myosotis can successfully be distinguished. Using these clues, an identification key was developed for the identification of waterlogged Myosotis seeds. © 2011 Springer-Verlag.

Wilkinson M.D.,Technical University of Madrid | Dumontier M.,Stanford University | Axton M.,Nature Genetics | Baak A.,Euretos and Phortos Consultants | And 46 more authors.
Scientific Data | Year: 2016

There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.

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