DSpace-CRIS is the first free and open-source extension of DSpace for Research Data and Information Management ever developed.
DSpace-CRIS has the institutional repository as its core component, providing high visibility online of the collected information and objects. DSpace-CRIS broadens DSpace functionality and expands its data model while remaining aligned with its code base.
DSpace-CRIS adopts and ensures compliance with international standards and practices to facilitate interoperability, data transfer and sharing. Key features:
- Full ORCID v3 integration (push/pull information)
- Integration with dozen external data sources, including commercial ones, to retrieve bibliographic and bibliometric data
- Support for decentralised management, self-service researcher profile management and approval workflows
- Aligned to the latest OpenAIRE Guidelines for Literature Repositories, Data Archives and CRIS Managers
- Data quality tools ensure that your information is always complete and accurate
Join the international community of leading institutions using DSpace-CRIS.
- PublicationInformation Synthesis for Answer Validation(2009)This report is about our participation in the Answer Validation Exercise (AVE2008). Our system casts the AVE task into a Recognizing Textual Entailment (RTE) problem and uses an existing RTE system to validate answers. Additional information from named-entity (NE) recognizer, question analysis component, and so on, is also considered as assistances to make the final decision. In all, we have submitted two runs, one run for English and the other for German. They have achieved f-measures of 0.64 and 0.61 respectively. Compared with our system last year, which purely depends on the output of the RTE system, the extra information does show its effectiveness.