The WUN e-Blog Book based on the LabTrove software (www.labrtrove.org) has been tested by an initial project in collaborative research between chemistry departments. The software is independent of the subject area of the experiments and can be adapted for different subjects by developing a relevant simple ontology to add more power to the system. Support for all levels of security from the extreme of Open Notebook Science (e.g. Sydney World Health Project) to fully secured IP sensitive work is available.
At the heart of WUN is the idea that collaboration fosters and facilitates new and innovative research. Carrying out multi-disciplinary research across this global network requires efficient ways to exchange and discuss data and information created in the geographically dispersed research groups. The expansion of the World Wide Web enables full advantage to be taken of the ability to exchange, modify and integrate digital data. Using Electronic Laboratory Notebooks (ELNs) at partner sites, ensuring that research data and information is recorded at source in a digital form will greatly facilitate the research discourse.
Using world-class facilities and expertise
Commercial ELN software is not suitable for the wide ranging cross-disciplinary research characteristic of the most innovative WUN research. An open source system using semantic Web and Web 2.0 in which Southampton is a world-leader, is an ideal basis on which to deploy a WUN ELN.
The WUN e-Blog Book will be tested by an initial project in collaborative research between chemistry departments. The software is independent of the subject area of the experiments and can be adapted for different subjects by developing a relevant simple ontology to add more power to the system. Support for all levels of security from the extreme of Open Notebook Science (e.g. Sydney World Health Project) to fully secured IP sensitive work is available.
Aims and Objectives
To facilitate secure collaboration between research groups and thereafter enable easy export or link to raw data associated with publications. We also envisage large scale open science being undertaken by, for example, undergraduates or the public on research projects.
