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The Front Matters: Capturing Journal Front Matter Content with JATS

Formale Metadaten

Titel
The Front Matters: Capturing Journal Front Matter Content with JATS
Serientitel
Teil
4
Anzahl der Teile
16
Autor
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache
Produktionsjahr2012
ProduktionsortWashington, D.C.

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
PMC strives to be a comprehensive archive of biomedical journals. Currently JATS provides no way to capture journal and issue specific front matter content, such as editorial boards, journal philosophy, submission instructions, etc. We developed an extension to the current Tag Suite, the pmc-journalmatter.dtd, that captures these journal artifacts. In mapping multiple publishing models, we found that front matter exists in two basic forms: issue and standing. The issue attribute should be used for administrative materials that are published in an issue. The standing attribute should be used for non-issue based and administrative materials that are not published in an issue, but are static, such as information published on a website. Our DTD aims to be flexible enough to accommodate a variety of user needs. It allows the users to update different elements of journal matter without the burden of updating all elements by offering separate document types.The document types include: author information, issue cover, editorial board, publisher information, and general information. In order to encapsulate front matter content, we introduced new elements that work in conjunction with JATS.This paper will explore the need for a front matter specific JATS extension, the limitations of the article model to represent this type of information, our process and rationale for the data mapping and subsequent development of new elements, and future implementation.