ResearchRevealed
The ResearchRevealed project has the core aim of demonstrating a fine-grained, access controlled, view layer application for research, built over a content integration repository layer. This will be tested at the University of Bristol and we aim to disseminate open source software and findings of generic applicability to other institutions.
ResearchRevealed will enhance ways in which a range of user stakeholder groups can gain up-to-date, accurate integrated views of research information and thus use existing institutional, UK and potentially global research information to better effect. There is a basic diagram to illustrate this concept from the predecessor, JISC-funded CIP (Content Integration) project
The presentation layer in this scenario may be flexibly composed of websites or departmental intranets (as shown in the diagram) but the generic ResearchRevealed presentation tool will in particular offer the means to more easily allow "domain experts" - end users - to view, access, cross-link, export and contribute new repository content.
The project builds on the earlier CIP project which found a separation of concerns across the University, defining a range of stakeholder groups, all of which nonetheless relate back to the need to integrate the same or very similar repository data sets for flexible search, browse and re-use. This project proposes to develop the stakeholder engagement process initiated at Bristol, by increasing the numbers of departments consulted and widening participation to other UK stakeholders.
Stakeholders in the project include Researchers, Research Managers, Research Analysts, Research Directors and Policy Makers, Finance Managers, Research Funders, further groups involved in the REF, Communications Departments for the dissemination of research, the public in general and those who consume or who are impacted on by research - including learners.
The aim is to link closely with Oxford's BRII project whose team, like us, are trialling semantic web technologies for the large-scale integration of research information and are interested in commonalities in user and technical requirements and potentially in technical implementations using Ontologies and Semantic API's.
Lead institution
