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Microbial Morphologies01:29

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Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...

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Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum
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Published on: March 19, 2017

The need for data standards in zoomorphology.

Lars Vogt1, Michael Nickel, Ronald A Jenner

  • 1Abteilung Zoologie und Evolutionsbiologie, Institut für Evolutionsbiologie und Ökologie, Fachgruppe Biologie, Universität Bonn; An der Immenburg 1, Bonn D-53121, Germany. lars.m.vogt@gmail.com

Journal of Morphology
|March 20, 2013
PubMed
Summary

eScience requires openly accessible data. Zoomorphology lacks data standards, hindering its participation in eScience. Developing standardized terminologies and descriptions is crucial for integrating zoomorphological data.

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Area of Science:

  • Zoology
  • Morphology
  • Computational Biology

Background:

  • eScience, a data-driven research approach, necessitates open, accessible, and compatible data.
  • Current scientific practices increasingly involve dynamic publications and digital dataset publications.
  • The zoomorphology field's scientific record is predominantly limited to literature, with data often inaccessible.

Purpose of the Study:

  • To highlight the necessity of data and metadata standards in zoomorphology for eScience participation.
  • To propose essential components for zoomorphology data standards, including content, concept, nomenclature, and format.
  • To introduce the International Consortium for Zoomorphology Standards to foster dialogue and development.

Main Methods:

  • Analysis of current publication practices and data accessibility in zoomorphology.
  • Identification of key components for data and metadata standardization.
  • Discussion of controlled vocabularies and ontologies for data annotation and semantic enhancement.

Main Results:

  • Zoomorphology currently lacks the necessary data and metadata standards to engage in eScience.
  • Standardized terminologies for anatomy and formalized methods for computer-parsable descriptions are identified as critical needs.
  • The International Consortium for Zoomorphology Standards has been established to address these challenges.

Conclusions:

  • Implementing standardized data and metadata frameworks is essential for zoomorphology to benefit from eScience.
  • The development of anatomy ontologies and formalized description methods will enable data compatibility and comparability.
  • Collaborative efforts through the International Consortium for Zoomorphology Standards are key to advancing the field.