Sharing open data without risk, and with machine-actionable provenance metadata | Zendy

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Sharing open data without risk, and with machine-actionable provenance metadata

Author(s) -

Karsten Boye Rasmussen

Publication year - 2020

Publication title -

iassist quarterly

Language(s) - English

Resource type - Journals

eISSN - 2331-4141

pISSN - 0739-1137

DOI - 10.29173/iq990

Subject(s) - metadata , provenance , computer science , data sharing , world wide web , information retrieval , data science , geology , paleontology , medicine , alternative medicine , pathology

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