The ADMIRAL Project: A Data Management Infrastructure for Research Across the Life sciences

ADMIRAL is a project of the Image Bioinformatics Research Group and is funded by the JISC. The purpose of the ADMIRAL Project is to create a two-tier federated data management infrastructure for use by life science researchers, that will provide services (a) to meet their local data management needs for the collection, digital organization, metadata annotation and controlled sharing of biological datasets; and (b) to provide an easy and secure route for archiving annotated datasets to an institutional repository, The Oxford University Data Store, for long-term preservation and access, complete with assigned Digital Object Identifiers and Creative Commons open access licences.


The Semantic Web, Linked and Open Data :…

The Semantic Web, Linked and Open Data :
“The development of the Semantic Web has been a long running project championed by the inventor of the
web, Sir Tim Berners-Lee. It is built around his concept of the ‘Web of data’ which means moving on from
the existing document centric view of the Web to a data centric one. In this vision of the Web, data and the relationships between data are key. Coupled with these ongoing Semantic Web developments there has also been growing interest in the related areas of linked and open data.
Between 2009 and 2010 both the UK and US governments launched high profile projects to release a wide range of publicly funded government information as open data sets. There is considerable potential for the education sector to use and contribute to these data sets as they become available. There are also potential benefits for institutions in using the principles of open and linked data in a number
of key areas such as institutional administration, teaching, learning and research. However, there is still a degree of confusion regarding the key concepts of the Semantic Web and linked and open data, as well as a range of views on approaches to implementation. This briefing paper will provide a high level overview of key concepts relating to the Semantic Web, semantic technologies, linked and open data; along with references to relevant examples and standards.
The briefing is intended to provide a starting point for those within the teaching and learning community who may have come across the concept of semantic technologies and the Semantic Web but who do not regard themselves as experts and wish to learn more. The examples and links are intended as starting points for further exploration.”

Building a Sustainable Framework for Ope…

Building a Sustainable Framework for Open Access to Research Data Through Information and Communication Technologies :
The growth in information and communication technology (ICT) has brought about increased pace in information and knowledge exchange. This increased pace is being fuelled in large part by the open exchange of information. The pressure for open access to research data is gaining momentum in virtually every field of human endeavour. Data is the life blood of science and quite unsurprisingly data repositories are rapidly becoming an essential component of the infrastructure of the global science system. Improved
access to data will transform the way research is conducted. It will create new opportunities and avenues for improved efficiency in dealing with social, economic and scientific challenges facing humanity. […]
Despite the admitted benefits of open access to research data, the concept is still bugged by series of factors both legal and ethical which must be resolved in other to derive the maximum benefit arising from open access to data. This resolution will require the development of a sustainable framework to facilitate access to and use of research data by researchers, academics institutions, private individuals and other users. […]


Using the Institutional Repository to pu…

Using the Institutional Repository to publish research data :
For open research data to be fully utilised it must be discoverable. Many types of research dataset are impossible to identify by looking at them so metadata is essential. This is the only major issue
with using existing Institutional Repositories to preserve and disseminate data. This paper suggests a simple scheme for facilitating discovery and reuse of open scienti c data.