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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Morpholog...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Morphology
Article . 2013 . Peer-reviewed
License: Wiley Online Library User Agreement
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The need for data standards in zoomorphology

Authors: Lars, Vogt; Michael, Nickel; Ronald A, Jenner; Andrew R, Deans;

The need for data standards in zoomorphology

Abstract

AbstracteScience is a new approach to research that focuses on data mining and exploration rather than data generation or simulation. This new approach is arguably a driving force for scientific progress and requires data to be openly available, easily accessible via the Internet, and compatible with each other. eScience relies on modern standards for the reporting and documentation of data and metadata. Here, we suggest necessary components (i.e., content, concept, nomenclature, format) of such standards in the context of zoomorphology. We document the need for using data repositories to prevent data loss and how publication practice is currently changing, with the emergence of dynamic publications and the publication of digital datasets. Subsequently, we demonstrate that in zoomorphology the scientific record is still limited to published literature and that zoomorphological data are usually not accessible through data repositories. The underlying problem is that zoomorphology lacks the standards for data and metadata. As a consequence, zoomorphology cannot participate in eScience. We argue that the standardization of morphological data requires i) a standardized framework for terminologies for anatomy and ii) a formalized method of description that allows computer‐parsable morphological data to be communicable, compatible, and comparable. The role of controlled vocabularies (e.g., ontologies) for developing respective terminologies and methods of description is discussed, especially in the context of data annotation and semantic enhancement of publications. Finally, we introduce the International Consortium for Zoomorphology Standards, a working group that is open to everyone and whose aim is to stimulate and synthesize dialog about standards. It is the Consortium's ultimate goal to assist the zoomorphology community in developing modern data and metadata standards, including anatomy ontologies, thereby facilitating the participation of zoomorphology in eScience. J. Morphol., 2013. © 2013 Wiley Periodicals, Inc.

Keywords

Internet, Databases, Factual, Vocabulary, Controlled, Information Dissemination, Animals, Data Mining, Anatomy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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