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Title: DSpace-CRIS 5 Technical documentation
Authors: Bollini, Andrea 
Pascarelli, Luigi Andrea 
Issue Date: 2016
Related Dataset: Example of CSV to import items into repository
Example of XLS to import organizations into repository
Example of XLS to import projects into repository
Example of XLS to import researchers into repository
Example of XLS to import journals into repository
Example of XLS to import events into repository
Example of XLS to setup CRIS data model
Example of XLS to import organizations into repository
Abstract: The DSpace-CRIS techinical documention provides useful information to setup, configure and customize DSpace-CRIS 5.4.0 What is Dspace-CRIS? Universities and researcher centers are rethinking their communication strategies, highlighting the quality of their research output and the profiles of their best researchers. Listing publications from an Expert Finder system may represent a solution, but providing an Expert Finder system within an Institutional Repository (IR) is a more innovative approach. This idea was developed in 2009 by the University of Hong Kong Libraries, along with Cineca technicians, and applied to their IR, The HKU Scholars Hub at, powered by DSpace. In 2013, Cineca and HKU went one step further and released DSpace-CRIS, an open source general solution to enrich DSpace with CRIS entities and concepts. “A Current Research Information System, commonly known as CRIS, is any informational tool dedicated to provide access to and disseminate research information.” ( At institutional level, a CRIS is a tool for policy making, evaluation of research based on outputs, documenting research activities and output and assistance in project planning and constitutes a formal record of research in progress. For the individual end users, a CRIS is essential to evaluate opportunities for research funding, avoid duplication of research activity, analyze trends, have references to full text or multimedia scholarly publications, locate new contacts and identify new markets for products of research. Typical forms of output are researcher CV, management information, reports to funders, research bibliography and commercial output reports. DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event, etcetera; because any profile can define its own set of properties and nested objects). DSpace-CRIS comply with the CERIF standard indeed the key components of the CERIF Data Model are supported natively in DSpace-CRIS: universally unique identifiers (UUID), time stamped relations, semantic characterization. The flexibility of the DSpace-CRIS data model allows the Institutions to configure the system in several different ways, so that the level of compliance with CERIF may depend on the specific configuration adopted by the Institution. Some de-normalizations are sometimes even recommended, because they are easier to adopt at the project start-up, when data are already available in other systems even if they are not enough structured (i.e. Journal information stored in the publication record or funding information stored in the project record). Dspace-CRIS supports interoperability through SOAP WebServices for read only access to CRIS information, import from XML and export CRIS entities in CERIF XML 1.6 will be added in a future release.
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