WORK IN PROGRESS!
Over the past 25 years I have pursued research interests in
the acceleration of scientific innovation through: distributed computing,
workflows and automation; knowledge management and the Semantic Web; social,
virtual environments; software engineering
for scientific software; and new models of scholarship for data-intensive
science. Since 2001 I have directed a large, mixed team of researchers,
computational scientists and software engineers that specialise in e-Science.
As an applied computer scientist I have always worked
alongside other disciplines, notably researchers in Chemistry, Medicine,
Biodiversity, AstroPhysics, Astronomy, Social Science, Digital Librarians and,
most notably, the Life Sciences. I pioneered ontology-based systems for data
and model curation, the integration biology data resources and provenance.
I applied the state of the art in distributed, service-based computing and
social collaboration to bioinformatics, particularly Systems Biology.
I am responsible for many widely used open source e-Science software and I have
been a strong advocate for putting software innovations into real practice.
Distributed Computing, Automation and Scientific Workflows
Web Services for Science
Knowledge Management, Semantic Web and Linked Data for Research
Semantic Curation and Ontology-enriched tools
Linked Data for Science
Object is an aggregation object that bundles together experimental
resources that are essential to a computational scientific study or
investigation. In the minimum this bundle object has an identity and a
suite of annotations, which can be about this bundle and the resources
of the bundle. The resources aggregated by a Research Object can be:
data used or results produced in an experiment study; (computational)
methods employed to produce and analyse that data; or people involved in
e-Labs: Social computing and Scientific Virtual Research Environments
The Social Science of Scientific Sharing