Long-tail data curation in the times of the FAIR Principles and Enabling FAIR 
Data – challenges and best practices from GFZ Data Services

Ulbricht, D.; Elger, Kirsten; Radosavljevic, B.; Ott, F.

doi:10.5194/egusphere-egu2020-16466

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Long-tail data curation in the times of the FAIR Principles and Enabling FAIR Data – challenges and best practices from GFZ Data Services

Ulbricht, D., Elger, K., Radosavljevic, B., Ott, F. (2020): Long-tail data curation in the times of the FAIR Principles and Enabling FAIR Data – challenges and best practices from GFZ Data Services - Abstracts, EGU General Assembly 2020 (Online 2020).
https://doi.org/10.5194/egusphere-egu2020-16466

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Item Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5004700 Version Permalink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5004700_1

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Ulbricht, D.¹, Author
Elger, Kirsten¹, Author
Radosavljevic, B.¹, Author
Ott, F.¹, Author

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1Library, Scientific Infrastructure and Platforms, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146062

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Dates: Finally published : 2020

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Identifiers: DOI: 10.5194/egusphere-egu2020-16466

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Title: EGU General Assembly 2020

Place of Event: Online

Start-/End Date: 2020

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Title: Abstracts

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