Actionable Persistent Identifier Collections
Persistent Identifiers (PIDs) have lately received a lot of attention from scientific infrastructure projects and communities that aim to employ them for management of massive amounts of research data and metadata objects. Such usage scenarios, however, require additional facilities to enable automa...
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doaj-5ab5f8bc5bcd46c7a938ee444e500e7c2020-11-24T22:04:48ZengUbiquity PressData Science Journal1683-14702014-01-011219120610.2481/dsj.12-05850Actionable Persistent Identifier CollectionsTobias Weigel0Stephan Kindermann1Michael Lautenschlager2Deutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany Universität Hamburg, Bundesstrasse 45a, 20146 Hamburg, GermanyDeutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, GermanyDeutsches Klimarechenzentrum, Bundesstrasse 45a, 20146 Hamburg, Germany, World Data Center for Climate, Bundesstrasse 45a, 20146 Hamburg, GermanyPersistent Identifiers (PIDs) have lately received a lot of attention from scientific infrastructure projects and communities that aim to employ them for management of massive amounts of research data and metadata objects. Such usage scenarios, however, require additional facilities to enable automated data management with PIDs. In this article, we present a conceptual framework that is based on the idea of using common abstract data types (ADTs) in combination with PIDs. This provides a well-defined interface layer that abstracts from both underlying PID systems and higher-level applications. Our practical implementation is based on the Handle System, yet the fundamental concept of PID-based ADTs is transferable to other infrastructures, and it is well suited to achieve interoperability between them.http://datascience.codata.org/articles/50Data-intensive sciencePersistent identifiersUnique identifierse-Science infrastructuresScientific data management |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tobias Weigel Stephan Kindermann Michael Lautenschlager |
spellingShingle |
Tobias Weigel Stephan Kindermann Michael Lautenschlager Actionable Persistent Identifier Collections Data Science Journal Data-intensive science Persistent identifiers Unique identifiers e-Science infrastructures Scientific data management |
author_facet |
Tobias Weigel Stephan Kindermann Michael Lautenschlager |
author_sort |
Tobias Weigel |
title |
Actionable Persistent Identifier Collections |
title_short |
Actionable Persistent Identifier Collections |
title_full |
Actionable Persistent Identifier Collections |
title_fullStr |
Actionable Persistent Identifier Collections |
title_full_unstemmed |
Actionable Persistent Identifier Collections |
title_sort |
actionable persistent identifier collections |
publisher |
Ubiquity Press |
series |
Data Science Journal |
issn |
1683-1470 |
publishDate |
2014-01-01 |
description |
Persistent Identifiers (PIDs) have lately received a lot of attention from scientific infrastructure projects and communities that aim to employ them for management of massive amounts of research data and metadata objects. Such usage scenarios, however, require additional facilities to enable automated data management with PIDs. In this article, we present a conceptual framework that is based on the idea of using common abstract data types (ADTs) in combination with PIDs. This provides a well-defined interface layer that abstracts from both underlying PID systems and higher-level applications. Our practical implementation is based on the Handle System, yet the fundamental concept of PID-based ADTs is transferable to other infrastructures, and it is well suited to achieve interoperability between them. |
topic |
Data-intensive science Persistent identifiers Unique identifiers e-Science infrastructures Scientific data management |
url |
http://datascience.codata.org/articles/50 |
work_keys_str_mv |
AT tobiasweigel actionablepersistentidentifiercollections AT stephankindermann actionablepersistentidentifiercollections AT michaellautenschlager actionablepersistentidentifiercollections |
_version_ |
1725828705033388032 |