A Generic Research Data Infrastructure for Long Tail Research Data Management

The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for...

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Main Authors:	Atif Latif, Fidan Limani, Klaus Tochtermann
Format:	Article
Language:	English
Published:	Ubiquity Press 2019-05-01
Series:	Data Science Journal
Subjects:	Research Data Research Data Management Generic Research Data Infrastructure Long Tail Content
Online Access:	https://datascience.codata.org/articles/847

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spelling	doaj-57b349fe05d44393a1f6884a776e90962020-11-25T02:42:11ZengUbiquity PressData Science Journal1683-14702019-05-0118110.5334/dsj-2019-017708A Generic Research Data Infrastructure for Long Tail Research Data ManagementAtif Latif0Fidan Limani1Klaus Tochtermann2ZBW - Leibniz Information Center for Economics, Kiel/HamburgZBW - Leibniz Information Center for Economics, Kiel/HamburgZBW - Leibniz Information Center for Economics, Kiel/HamburgThe advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citeble and accessible for society potential reuse. GeRDI – the Generic Research Data (RD) Infrastructure – is such a research data management initiative which targets long tail content that stems from research communities belonging to different domain and research practices. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.https://datascience.codata.org/articles/847Research DataResearch Data ManagementGeneric Research Data InfrastructureLong Tail Content
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Atif Latif Fidan Limani Klaus Tochtermann
spellingShingle	Atif Latif Fidan Limani Klaus Tochtermann A Generic Research Data Infrastructure for Long Tail Research Data Management Data Science Journal Research Data Research Data Management Generic Research Data Infrastructure Long Tail Content
author_facet	Atif Latif Fidan Limani Klaus Tochtermann
author_sort	Atif Latif
title	A Generic Research Data Infrastructure for Long Tail Research Data Management
title_short	A Generic Research Data Infrastructure for Long Tail Research Data Management
title_full	A Generic Research Data Infrastructure for Long Tail Research Data Management
title_fullStr	A Generic Research Data Infrastructure for Long Tail Research Data Management
title_full_unstemmed	A Generic Research Data Infrastructure for Long Tail Research Data Management
title_sort	generic research data infrastructure for long tail research data management
publisher	Ubiquity Press
series	Data Science Journal
issn	1683-1470
publishDate	2019-05-01
description	The advent of data intensive science has fueled the generation of digital scientific data. Undoubtedly, digital research data plays a pivotal role in transparency and re-producibility of scientific results as well as in steering the innovation in a research process. However, the main challenges for science policy and infrastructure projects are to develop practices and solutions for research data management which in compliance with good scientific standards make the research data discoverable, citeble and accessible for society potential reuse. GeRDI – the Generic Research Data (RD) Infrastructure – is such a research data management initiative which targets long tail content that stems from research communities belonging to different domain and research practices. It provides a generic and open software which connects research data infrastructures of communities to enable the investigation of multidisciplinary research questions.
topic	Research Data Research Data Management Generic Research Data Infrastructure Long Tail Content
url	https://datascience.codata.org/articles/847
work_keys_str_mv	AT atiflatif agenericresearchdatainfrastructureforlongtailresearchdatamanagement AT fidanlimani agenericresearchdatainfrastructureforlongtailresearchdatamanagement AT klaustochtermann agenericresearchdatainfrastructureforlongtailresearchdatamanagement AT atiflatif genericresearchdatainfrastructureforlongtailresearchdatamanagement AT fidanlimani genericresearchdatainfrastructureforlongtailresearchdatamanagement AT klaustochtermann genericresearchdatainfrastructureforlongtailresearchdatamanagement
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A Generic Research Data Infrastructure for Long Tail Research Data Management

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