Versions Compared


  • This line was added.
  • This line was removed.
  • Formatting was changed.


Current Research Information System (CRIS) / Research Information Management System (RIMS)

The overlap between DSpace and the realm of CRIS/RIMS systems comes from the fact that publications, usually stored in DSpace, are important objects in a CRIS system. The overall concept of a CRIS system is broader and encompasses rich objects for staff, projects, grants etc. DSpace-CRIS extends the data model of DSpace to manage entities and attributes, with their reciprocal links, that represent research information and populate the research domain according to the CERIF standard.

Examples of DSpace-CRIS used as a CRIS + Institutional repository include:

In the open source realm DSpace is often compared with:


Features that make DSpace-CRIS strong in this area:

  • Flexible data model compliant with the CERIF standard
  • Pre-configured entities for the research domain 
  • Contextualized dynamic components
  • Statistics available at all levels of hierarchy and aggregated statistics of linked entities
  • Researcher's profile and CV
  • Complete ORCID v3 integration (pull/push of profiles, publications, projects)
  • Integration with bibliographic and bibliometric databases
  • Management of hierarchical metadata

External articles about DSpace-CRIS in this area:

  • D. Palmer, A. Bollini, S. Mornati, M. Mennielli. DSpace-CRIS@HKU: Achieving visibility with a CERIF compliant Open Source System in "Managing Data-Intensive Science: the Role of Research Information Systems in Realising the Digital Agenda": Proceedings of the 12th International Conference on Current Research Information Systems (2014),

Data Repository

In recent years, DSpace is increasingly being used to store research data.


In the open source realm DSpace is often compared with:

  • Dataverse (it features versioning, access to unpublished datasets for members of the research group, M2M data streaming - this last feature was added to DSpace with the CKAN integration)

Features that make DSpace strong in this area:

  • Persistent URLs and unique identifiers
  • Item and bitstream versioning
  • Checksum generation and verification
  • Bitstream format registry
  • Integration with CKAN for data visualization and M2M streaming for data analysis
  • OpenAIRE compliancycompliance