A high-performance persistent identification concept

2016 | conference paper. A publication of Göttingen

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​A high-performance persistent identification concept​
Berber, F. ; Wieder, P.   & Yahyapour, R. ​ (2016)
​2016 IEEE International Conference on Networking, Architecture and Storage (NAS) pp. 1​-10. ​IEEE International Conference on Networking, Architecture and Storage (NAS)​, Long Beach, USA. DOI: https://doi.org/10.1109/NAS.2016.7549387 

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Berber, Fatih ; Wieder, Philipp ; Yahyapour, Ramin 
The immense research dataset growth requires new strategies and concepts for an appropriate handling at the corresponding research data repositories. This is especially true for the concept of Persistent Identifiers (PIDs), which is designed to provide a persistent identification layer on top of the address-based resource retrieval methodology of the current Internet. For research datasets, which are referenced, further processed and transferred, such a persistent identification concept is highly crucial for ensuring a long-term scientific exchange. Often, each individual research dataset stored in a research data repository, is registered at a particular PID registration agency in order to be assigned a globally unique PID. However, for the explosive growth of research datasets this concept of registering each individual research dataset is in terms of the performance highly inappropriate. Therefore, the focus of this work is on a concept for enabling a high-performance persistent identification of research datasets. Recent research data repositories often are equipped with a built-in naming component for assigning immutable and internally unique identifiers for their incoming research datasets. Thus, the core idea in this work is to enable these internal identifiers to be directly resolvable at the well-known global PID resolution systems. This work will therefore provide insight into the implementation of this idea into the well-known Handle System. Finally, in this work, we will provide an experimental evaluation of our proposed concept.
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Gesellschaft für wissenschaftliche Datenverarbeitung 
IEEE International Conference on Networking, Architecture and Storage (NAS)
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Long Beach, USA
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