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Assigning creative commons licenses to research metadata: issues and cases

Capitolo di libro
Data di Pubblicazione:
2018
Abstract:
This paper discusses the problem of lack of clear licensing and transparency of usage terms and conditions for research metadata. Making research data connected, discoverable and reusable are the key enablers of the new data revolution in research. We discuss how the lack of transparency hinders discovery of research data and make it disconnected from the publication and other trusted research outcomes. In addition, we discuss the application of Creative Commons licenses for research metadata, and provide some examples of the applicability of this approach to internationally known data infrastructures.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Semantic web; Research metadata; Licensing; Discoverability; Data infrastructure; Creative commons; Open data
Elenco autori:
Manghi, Paolo
Autori di Ateneo:
MANGHI PAOLO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/343840
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/343840/161765/prod_393615-doc_138537.pdf
Titolo del libro:
AI Approaches to the Complexity of Legal Systems
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URL

https://link.springer.com/chapter/10.1007/978-3-030-00178-0_16
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