Friuli-Venezia Giulia “Regional Scientific System” includes three Public Universities that started a common project (UnityFVG) in 2014 for integration and exposition of their Research “entities”. The UnityFVG Research Portal is based on DSpace-CRIS solution and uses CERIF-XML over OAI-PMH for harvesting the main entities (Researchers, Organizations, Publications) from the Institutional DSpaceCRIS systems, also exploiting their REST interface to enrich data exposed on the Portal. In 2018 we started harvesting other entities (Research Groups, Public Engagement Events, Journals, Conferences, Datasets) and linking them to Researcher Profiles, developing a special interface to search and view Researchers’ “skills”. All this data is collected and linked together using persistent identifiers like DOI, Handle, ORCID. The use of PIDs provides an effective response to a major challenge of the project: to collect plenty of information from different sources and to match it in unique entities/items without ambiguities or duplicates, representing the research life-cycle.

UnityFVG – Regional Research Portal implementing OpenAIRE CRIS/Data/Literature Guidelines with DSpace-CRIS

PIŠČANC Jordan
2020

Abstract

Friuli-Venezia Giulia “Regional Scientific System” includes three Public Universities that started a common project (UnityFVG) in 2014 for integration and exposition of their Research “entities”. The UnityFVG Research Portal is based on DSpace-CRIS solution and uses CERIF-XML over OAI-PMH for harvesting the main entities (Researchers, Organizations, Publications) from the Institutional DSpaceCRIS systems, also exploiting their REST interface to enrich data exposed on the Portal. In 2018 we started harvesting other entities (Research Groups, Public Engagement Events, Journals, Conferences, Datasets) and linking them to Researcher Profiles, developing a special interface to search and view Researchers’ “skills”. All this data is collected and linked together using persistent identifiers like DOI, Handle, ORCID. The use of PIDs provides an effective response to a major challenge of the project: to collect plenty of information from different sources and to match it in unique entities/items without ambiguities or duplicates, representing the research life-cycle.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/3031102
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