The goal of exposing interlinked data on data.open.ac.uk is to make existing public data more accessible, reusable and exploitable. This can only be demonstrated through applications making use of this data in innovative and/or cost effective ways. We describe below various applications at different stages of development that show some of the things that can be achieved thanks to data.open.ac.uk.
This simple map shows the location of OU buildings in the main campus and the regoinal centers. It makes use of a test version of the building data not yet currently being finalised by the LUCERO project
This applications demonstrates how links to external datasets can be useful from the point of view of research data. It is based on a draft dataset extracted from the Reading experience dataset. It shows a person (author or reader), with information from the database (reading experiences and books written) and from DBpedia (abstract, categories, influcences). Clicking a category add to the page links to other people in the reading experience database that are also members of this category.
This mobile application allows users of the Open University (students, lecturers, etc.) to keep track and share of the locations within the OU main campus and regional centers that they attend, and of the reasons for attending them.
This application makes use of data from data.open.ac.uk in a bookmarklet that suggests courses, podcasts and other OpenLearn units, starting from the page of a particular OpenLearn unit.
The OU Expert Search system allows users to find academics at the Open University who are experts in a given domain, providing a ranked list of experts based in particular on their research publications.
OUExperts is a mobile application to find Open Univeristy experts in a given domain, and connect to their social network.
Buddy Study suggests potential contacts and Open University courses to follow for students, based on analysis of the topics in the user's Facebook page.
This tool extracts questions that can be answered by an RDF/Linked dataset, organised in a hierachy and presents a subset that are evaluated as being more likely to be of interest. The Question hierarchy can be navigated and presented together with the answers to selected questions.
This demonstrator displays a graph with the connections between members of the Knowledge Media Institute, based on their common papers, past and current projects.