and practices to facilitate interoperability and data transfer: - ORCID API v2 (complete compliance including pull/push of info for profiles, publications, projects) - Signposting and ResourceSync (which implement COAR NGR Recommended Behaviors) - OpenAIRE Guidelines for Literature Repository Managers v3 (v4 coming soon), for Data Archives, for CRIS Managers v1.1.1 (based on CERIF, due Nov. 2019) - PlanS (by Coalition S) - FAIR principles The main characteristic of DSpace-CRIS is its flexible data model, which allows you to collect and manage research data and information typical of a CRIS system, to define entities and attributes with their reciprocal links. If you would just want to enhance the management of authors, provide name variants and IDs such as the ORCiD, exploit the varied ecosystem of persistent identifiers, link researchers to projects, awards, etc., DSpace-CRIS flexible data model can support this without aggravating the management burden of a normal institutional repository, while giving a great added value. Besides, it has useful features such as the collaboration network graph, aggregated (by researcher, by department) bibliometrics and statistics with graphic reporting, CVs and bibliographies, integration with ORCiD API v.2 and much more, you can explore them |