***apologies for cross-posting*** CINECA[1] and the University of Hong Kong (HKU)[2] are pleased to announce the immediate availability for download of the first 4.x version of the DSpace CRIS module (based on DSpace 4.1):
https://github.com/Cineca/DSpace/releases/tag/dspace-cris-4.1.0 Publications are an important output of the research cycle. They allow communication between scholars, and measurement and decision support of research amongst research administrators. However there are many other equally important entities in research that need description and tracking, such as projects, grants, patents, organization units, researcher profiles (people), etc. Integrating and contextualizing all of these entities along with publications, adds greater value to each individual piece, in terms of visibility, discovery, and understanding of the total research picture. One name used for such integrations is Current Research Information System (CRIS). http://en.wikipedia.org/wiki/Current_Research_Information_System This DSpace addon enables the ingestion, storage, display and management of metadata and fulltext on these other research entities. This module produces a smooth integration between native DSpace items (publications) and other CRIS entities. All entities (native DSpace items or new CRIS Entities) can be linked with each other using autocomplete/lookup functions in the submission edit phase and/or the inter-navigation in visualizations. The updated DSpace CRIS Roadmap can be found here: http://cineca.github.io/dspace-cris/roadmap.html The list of the DSpace-CRIS features can be found here: http://cineca.github.io/dspace-cris/features.html The techinical documentation is available here: http://cineca.github.io/dspace-cris/doc/technical-documentation.pdf The major changes from the previous release are: 1. upgrade to DSpace 4.1 and to the bootstrap layout also for the DSpace-CRIS pages 2. upgrade to Hibernate 4 3. full support for Oracle (tested on 11.g R2 and 12.c), other than PostgreSQL 9.x 4. Easier installation process (as detailed below) At the technical level we worked hard to make the installation procedure easier. To meet this goal we have decided to dismiss the dspace-cris GitHub submodule and make all the source available as a fork of the DSpace repository. This mean that the https://github.com/Cineca/dspace-cris repository is now available only for historical reason and for use with old releases. All you need starting with the 4.1 version is located in the https://github.com/Cineca/DSpace repository. Another change that will make easier the DSpace-CRIS installation is the use of the native DSpace SOLR webapp this has been possible as Cineca has contributed the SOLR upgrade directly to the DSpace codebase in the 4.0 release. The DSpace-CRIS versions are automatically checked by Travis CI: 4.1.0: https://travis-ci.org/Cineca/DSpace/builds/27450750 Some of this code base has already made its way into general DSpace releases. Other parts of the code base, should the community judge to be general enough, will also be contributed to future DSpace releases. However we envision that most of this work will be an optional addon, which DSpace developers can choose to implement, or not. In the spirit of open source, we hope that this DSpace CRIS module will receive wide adoption in the DSpace community. We hope that many will find it useful and then build further upon this start. To enable this desired multilateral collaboration, we ask that you send any inquires directly to the dspace mailing lists (mainly dspace-tech at lists.sourceforge.net). We invite all the interested parties to get in touch with us. Up to now, this has been a collaboration between CINECA and HKU. The HKU side is supported by funding from the HKU Office of Knowledge Exchange and the University Libraries. A note on mailing list etiquette: https://wiki.duraspace.org/display/DSPACE/Mailing+List+Etiquette [1] http://www.cineca.it/ [2] http://www.hku.hk/ -- Andrea Bollini Soluzioni per la Ricerca Istituzionale Cineca Via dei Tizii, 6 00185 Roma, Italy tel. +39 06 44 486 087 - mob. +39 348 82 77 525 http://www.cineca.it ------------------------------------------------------------------------------ HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions Find What Matters Most in Your Big Data with HPCC Systems Open Source. Fast. Scalable. Simple. Ideal for Dirty Data. Leverages Graph Analysis for Fast Processing & Easy Data Exploration http://p.sf.net/sfu/hpccsystems _______________________________________________ DSpace-tech mailing list DSpace-tech@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dspace-tech List Etiquette: https://wiki.duraspace.org/display/DSPACE/Mailing+List+Etiquette
