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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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NFDI4Cat: Requirements Analysis

Authors: Wentzel, Bianca; Schimmler, Sonja; Kushnarenko, Volodymyr; Petrenko, Taras; Huskova, Nadiia; Dikova, Yuliia; Rodrigues, Preston; +4 Authors

NFDI4Cat: Requirements Analysis

Abstract

The national research data infrastructure (Nationale Forschungsdateninfrastruktur - NFDI) initiative by the German Research Foundation (DFG) develops and establishes research data infrastructures different disciplines by almost 30 consortia. One consortium is NFDI4Cat focusing on catalysis-related sciences. While this goal itself poses a big challenge, the complexity of catalysis-related sciences and their numerous disciplines with specific demands aggravate this challenge. By conducting an extensive analysis based on user interviews, personas and user stories were derived describing what requirements the planned research data infrastructure should be able to fulfill. A first version of this collection of information is provided as a data set which will be refined, expanded and adapted over the course of the next years following an agile approach. The collection of the user stories is represented in the file "NFDI4Cat_UserStories.xlsx". The methodology of the requirements analysis is described in the file "NFDI4Cat_RequirementsAnalysis.pdf".

Acknowledgment. This work was funded by the German Research Foundation (DFG) through the National Research Data Infrastructure for Catalysis-Related Sciences (NFDI4Cat), DFG project no. 441926934, within the National Research Data Infrastructure (NFDI) program of the Joint Science Conference (GWK).

Keywords

requirements analysis, catalysis, user story, research data management, infrastructure, requirements, NFDI4Cat, user stories

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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115