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Assigning creative commons licenses to research metadata: issues and cases

Chapter
Publication Date:
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.
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
Semantic web; Research metadata; Licensing; Discoverability; Data infrastructure; Creative commons; Open data
List of contributors:
Manghi, Paolo
Authors of the University:
MANGHI PAOLO
Handle:
https://iris.cnr.it/handle/20.500.14243/343840
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/343840/161765/prod_393615-doc_138537.pdf
Book title:
AI Approaches to the Complexity of Legal Systems
  • Overview

Overview

URL

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