Research Papers
A Framework for Extended Persistent Identification of Scientific Assets
Authors:
Tobias Weigel ,
Deutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany
Universität Hamburg, Bundesstrasse 45a, 20146 Hamburg, Germany, DE
Michael Lautenschlager,
Deutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany
World Data Center for Climate, Bundesstrasse 45a, 20146 Hamburg, Germany, DE
Frank Toussaint,
Deutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany
World Data Center for Climate, Bundesstrasse 45a, 20146 Hamburg, Germany
Stephan Kindermann
Deutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany, DE
Abstract
Several scientific communities relying on e-science infrastructures are in need of persistent identifiers for data and contextual information. In this article, we present a framework for persistent identification that fundamentally supports context information. It is installed as a number of low-level requirements and abstract data type descriptions, flexible enough to envelope context information while remaining compatible with existing definitions and infrastructures. The abstract data type definitions we draw from the requirements and exemplary use cases can act as an evaluation tool for existing implementations or as a blueprint for future persistent identification infrastructures. A prototypic implementation based on the Handle System is briefly introduced. We also lay the groundwork for establishing a graph of persistent entities that can act as a base layer for more sophisticated information schemas to preserve context information.
How to Cite:
Weigel, T., Lautenschlager, M., Toussaint, F. and Kindermann, S., 2013. A Framework for Extended Persistent Identification of Scientific Assets. Data Science Journal, 12, pp.10–22. DOI: http://doi.org/10.2481/dsj.12-036
Published on
04 Mar 2013.
Peer Reviewed
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