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How Well do you Know Your Data? Converting an Archive of Proprietary Markup Schemes to JATS: A Case Study

Formale Metadaten

Titel
How Well do you Know Your Data? Converting an Archive of Proprietary Markup Schemes to JATS: A Case Study
Serientitel
Teil
2
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
The presentation will describe the challenges, benefits, and opportunities resulting from converting an archival collection of approximately 750,000 files to JATS. The goal was to migrate the American Institute of Physics (AIP) and member society archival collection from multiple generations of proprietary markup to an industry standard to create a true archive, all managed within a new, more controlled content management system. Integral to the process was the adoption and application of the XML technologies XSLT, XPath, and Schematron to transform and check the content. Sounds straightforward doesn't it? Perform a thorough document analysis, map out the transformation rules, convert the data. But is it? Have you accounted for all historical variations, generated text, metadata, nomenclature variations on XML file assets? Beside your core, don't forget about reuse for other products, edge cases, online presentation, distribution channels and staff training!