OpenCitations is an independent not-for-profit infrastructure organization for open scholarship dedicated to the publication of open bibliographic and citation data by the use of Semantic Web (Linked Data) technologies. OpenCitations collaborates with projects that are part of the Open Science ecosystem and complies with the UNESCO founding principles of Open Science, the I4OC recommendations, and the FAIR data principles that data should be Findable, Accessible, Interoperable and Reusable. Since its data satisfies all the Reuse guidelines provided by FAIR in terms of richness, provenance, usage licenses and domain-relevant community standards, OpenCitations provides an example of a successful open e-infrastructure in which the reusability of data is integral to its mission.

Di Giambattista, C., Heibi, I., Peroni, S., Shotton, D. (2022). OpenCitations: an Open e-Infrastructure to Foster Maximum Reuse of Citation Data. INTERNATIONAL JOURNAL OF DIGITAL CURATION, 17(1), 1-5 [10.2218/ijdc.v17i1.818].

OpenCitations: an Open e-Infrastructure to Foster Maximum Reuse of Citation Data

Di Giambattista, Chiara;Heibi, Ivan;Peroni, Silvio;
2022

Abstract

OpenCitations is an independent not-for-profit infrastructure organization for open scholarship dedicated to the publication of open bibliographic and citation data by the use of Semantic Web (Linked Data) technologies. OpenCitations collaborates with projects that are part of the Open Science ecosystem and complies with the UNESCO founding principles of Open Science, the I4OC recommendations, and the FAIR data principles that data should be Findable, Accessible, Interoperable and Reusable. Since its data satisfies all the Reuse guidelines provided by FAIR in terms of richness, provenance, usage licenses and domain-relevant community standards, OpenCitations provides an example of a successful open e-infrastructure in which the reusability of data is integral to its mission.
2022
Di Giambattista, C., Heibi, I., Peroni, S., Shotton, D. (2022). OpenCitations: an Open e-Infrastructure to Foster Maximum Reuse of Citation Data. INTERNATIONAL JOURNAL OF DIGITAL CURATION, 17(1), 1-5 [10.2218/ijdc.v17i1.818].
Di Giambattista, Chiara; Heibi, Ivan; Peroni, Silvio; Shotton, David
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/901747
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