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This paper presents the system architecture as well as the underlying workflow of the Extensible Repository System of Digital Objects (ERDO) which has been developed for the sustainable archiving of language resources within the Tübingen CLARIN-D project. In contrast to other approaches focusing on archiving experts, the described workflow can be used by researchers without required knowledge in the field of long-term storage for transferring data from their local file systems into a persistent repository.
This paper uses a devil’s advocate position to highlight the benefits of metadata creation for linguistic resources. It provides an overview of the required metadata infrastructure and shows that this infrastructure is in the meantime developed by various projects and hence can be deployed by those working with linguistic resources and archiving. Possible caveats of metadata creation are mentioned starting with user requirements and backgrounds, contribution to academic merits of researchers and standardisation. These are answered with existing technologies and procedures, referring to the Component Metadata Infrastructure (CMDI). CMDI provides an infrastructure and methods for adapting metadata to the requirements of specific classes of resources, using central registries for data categories, and metadata schemas. These registries allow for the definition of metadata schemas per resource type while reusing groups of data categories also used by other schemas. In summary, rules of best practice for the creation of metadata are given.
Wenn man verschiedenartige Forschungsdaten über Metadaten inhaltlich beschreiben möchte, sind bibliografische Angaben allein nicht ausreichend. Vielmehr benötigt man zusätzliche Beschreibungsmittel, die der Natur und Komplexität gegebener Forschungsressourcen Rechnung tragen. Verschiedene Arten von Forschungsdaten bedürfen verschiedener Metadatenprofile, die über gemeinsame Komponenten definiert werden. Solche Forschungsdaten können gesammelt (z.B. über OAI-PMH-Harvesting) und mittels Facetten-basierter Suche über eine einheitliche Schnittstelle exploriert werden. Der beschriebene Anwendungskontext kann über sprachwissenschaftliche Daten hinaus verallgemeinert werden.
The Component Metadata Infrastructure (CMDI) in a project on sustainable linguistic resources
(2012)
The sustainable archiving of research data for predefined time spans has become increasingly important to researchers and is stipulated by funding organizations with the obligatory task of being observed by researchers. An important aspect in view of such a sustainable archiving of language resources is the creation of metadata, which can be used for describing, finding and citing resources. In the present paper, these aspects are dealt with from the perspectives of two projects: the German project for Sustainability of Linguistic Data at the University of Tubingen (NaLiDa, cf. http://www.sfs.uni-tuebingen.de/nalida) and the Dutch-Flemish HLT Agency hosted at the Institute for Dutch Lexicology (TST-Centrale, cf.http://www.inl.nl/tst-centrale). Both projects unfold their approaches to the creation of components and profiles using the Component Metadata Infrastructure (CMDI) as underlying metadata schema for resource descriptions, highlighting their experiences as well as advantages and disadvantages in using CMDI.