NEW RELEASE: DSpace-CRIS 5.4.0 Now Available

Thu, 2016-02-25 09:28 -- kristi

From Andrea Bollini, Michele Mennielli

Bologna, Italy  Thanks to the collaboration between Cineca and the Polytechnic University of Hong Kong, that selected the Italian Consortium to help develop their Institutional Research Archive (IRA) project, Cineca added several interesting features and enhancements to DSpace-CRIS and to the release of 5.4.0 on February 15, 2016.  These features helped to implement a central database with the ability to showcase all University research activities and expertise as well as the publications already available in their Open Access Repository.

Download DSpace-CRIS 5.4.0 here: https://github.com/Cineca/DSpace/tree/dspace-cris-5.4.0

Documentation: https://wiki.duraspace.org/display/DSPACECRIS/Technical+documentation

Overview

  • There is now a general infrastructure to support metrics about any DSpace/DSpace-CRIS objects, such as traditional bibliometrics for publications, authors, journals, alternative and local metrics.

  • DSpace-CRIS is now integrated out-of-box with Scopus, Web Of Science, and PubMed Central to collect, show and process citation data. The AltMetrics  badge can be shown beside the other metrics.

  • For any defined metric DSpace-CRIS allows for calculating objects’ local ranking and percentile in order to provide the “most cited” component to different web pages (the home page or any other specific Department/Office pages).

  • Internal statistics have been elaborated as usage metrics to make them available for “Most viewed”, “Most downloaded” components and to calculate local percentile.

  • Metrics data can now be exposed in “listing” to make browsing and searching easier, and they can also be used as sorting criteria. This is done by extending the SOLR capability to load additional information from an external source. This feature enables future improvements such as support for “user rated content” to DSpace.

  • Another important new development is the ability to load and update CRIS’ objects into the system using XLS file, a similar approach to what is actually supported by DSpace for standard items. The feature allows a user to set any kind of field, including the relations between different objects (such as org.unit and researchers, projects and researchers, etc.), and custom fields.

  • The data model configuration has been simplified, indeed it is now possible to easily export and import the configuration also using XLS files.

  • There is now a better integration between DSpace-CRIS and ORCID. When a researcher creates her profile in the local DSpace-CRIS, the system automatically collects all the biographic information (such as biography, additional names, external URLs, additional identifiers) from ORCID,  both when the researcher directly accesses the system, as well as when a new publication is added to the system that the researcher is co-authoring.

  • Additionally, the new version has improved the layout and navigation experience: the navigation menu invites the user to explore the repository contents by “Entity”, offering the appropriate tools for each specific type of content such as dedicated browse indexes, advanced search options and components to highlight recent or featured content.

  • A public demo of the system to allow institutions to freely evaluate the environment is now available. The demo can be found here: http://demo-dspace-cris.cineca.it/

  • Finally, a new DSpace-CRIS wiki space has been provided by Duraspace for the purpose of exposing the documentation in a useful, collaborative way to provoke discussion among DSpace and DSpace-CRIS users: https://wiki.duraspace.org/display/DSPACECRIS

The new wiki space contains an improved and updated version of the technical documentation previously available as PDF in the DSpace-CRIS GitHub website. In the coming weeks the documentation will be extended to cover UI functions for end users.

The system will continue to be improved and new features will be added. The next area of development includes the creation of internal tools for library staffs to use in easily harmonizing, fixing and improving publication data coming automatically from different data sources like Scopus, Web of Science, the university ROS system and others added manually by the researchers. A configurable “duplicates detect- and-merge” tool will be included out-of-box in the next version of DSpace-CRIS.

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