Concurrency&Computation:Practice&Experience e-Science Quarterly
e-Science refers to new methodologies for science that is increasingly carried out through
novel mechanisms enabled by the Internet and distributed systems. e-Science is enabling
new scientific discoveries exploiting new information technology (Grids,
Cyberinfrastructure, e-infrastructure).
Many examples of e-Science are emerging. For instance, a model of e-Science is large
scale, distributed, global collaborations requiring access to very large data collections, very
large scale computing resources and high performance visualisation back to the individual
scientists. Equally exciting is the use of service-oriented architectures, distributed data
management, and knowledge services within a research group; these can encompass lab
notebooks based on blogs or Wikis, linking data to text in new forms of active publications,
while providing support to the whole data life cycle, from high throughput data generation
to archiving and preservation. Other examples involve complex dynamic workflows with
simulations, real-time sensors and distributed databases, incorporating analysis, data mining
and provenance.
e-Science Quarterly will be published as a series of special issues of the Wiley journal
Concurrency&Computation:Practice&Experience four times per year with the first issue in
January 2008. In the future, more distinctive publication modes will be explored. The
editors will be Geoffrey Fox, Tony Hey and Luc Moreau. We will start with invited papers
but expect a growing fraction of unsolicited papers. We will include longish review articles
but the majority of the papers will be of conventional style. All submissions will be
reviewed.
The journal will support e-Science by publishing high quality articles on the field with the
criterion that they be of interest to both practitioners and those that manage, support or are
otherwise interested in the field. Papers will cover applications, technology, standards,
security, institutional, ethics, legal and globalization issues in science and engineering for
both research and education. All articles must have clear interest to the practice of Science
and Engineering research and/or education and not just be focussed on the technology that
enables e-Science. However, within this guideline, we expect a broad spectrum of articles
with varying proportion of Science and Engineering to Information Technology.