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Other literature type . 2024
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Conference object . 2024
License: CC BY
Data sources: Datacite
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Conference object . 2024
License: CC BY
Data sources: Datacite
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Streamlining Pest and Disease data UC3 Action 2: Towards improved FAIRness

Authors: Kühnel, Stefan; Wagner, Christina; Lorenzen, Marissa; Sellmann, Jörg; Feike, Til;

Streamlining Pest and Disease data UC3 Action 2: Towards improved FAIRness

Abstract

Use Case 3 aims at improving pest and disease related research data management in order to enable a more effective integrated pest management. 3 Actions have been specified, out of which Action 2 is addressed here: Establish inventory for and improve accessibility of IPM related data. Local database systems are widely used by federal and regional research organisations for the collection and processing of pest and disease related data. These data are generally of high quality, given its standardized experimental design and uniform data structure. To date, no central search index exists, which would summarize the data of the 15 to 20 local, independant database instances. Thus, research data is not easily findable and accessible. Within Action2, standard output queries are developed to export metadata sets or entire data sets into a newly developed, central database.

Related Organizations
Keywords

NFDI, P&D, FAIR data, RDM, Research Data Management, M1.3, P&D, Agrosystems, search index, FAIRagro, Community Summit 2024

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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!
0
Average
Average
Average