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The rise of informatics as a research domain
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Citation: Fox, P. 2011. The rise of informatics as a research domain.
Authors:Peter Fox
Concepts:eScience, Data Science, Provenance, Geophysical Science, & Xinformatics
Abstract:
Over the past five years, data science has emerged as a means of conducting science over many
disciplines and domains. Accompanying this emergence is the realization that different
informatics approaches, i.e. the science of data and information underlying the developments,
have also emerged independently and empirically in many areas, e.g. astro, bio, geo, hydro,
ocean and over different timescales, funding models and corresponding appreciation by their
communities. To fully enable both interdisciplinary research and cope with increasingly complex
data within domains, a move to a more repeatable and interworkable mode is required, i.e.
adding a research component to the application component of informatics that enables data
science as a means to address integrative science grand challenges areas such as water,
environment and climate, ultimately resulting in the discovery of new knowledge. This
contribution details some key elements of research informatics, the class of people who appear in
this discipline, and the state of some current research challenges.
History Move:
Date
Created By Link
July 29, 2011
Peter Fox Download
09:35:17
Related Research Areas: Move:
Data Frameworks
Lead Professor: Peter Fox
Description: None.
Concepts: eScience
Data Science
Lead Professor: Peter Fox
Description: Science has fully entered a new
mode of operation. Data science is advancing
inductive conduct of science driven by the
greater volumes, complexity and
heterogeneity of data being made available
over the Internet. Data science combines of
aspects of data management, library science,
computer science, and physical science using
supporting cyberinfrastructure and
information technology. As such it is
changing the way all of these disciplines do
both their individual and collaborative work.
Data science is helping scienists face new
global problems of a magnitude, complexity
and interdisciplinary nature whose progress is
presently limited by lack of available tools
and a fully trained and agile workforce.
At present, there is a lack formal training in
the key cognitive and skill areas that would
enable graduates to become key participants
in escience collaborations. The need is to
teach key methodologies in application areas
based on real research experience and build a
skill-set.
At the heart of this new way of doing
science, especially experimental and
observational science but also increasingly
computational science, is the generation of
data.
Concepts: eScience
Knowledge Provenance
Lead Professor: Deborah L. McGuinness
Description: Knowledge Provenance
Concepts: Provenance,
Semantic eScience
Lead Professor: Peter Fox
Description: Science has fully entered a new
mode of operation. E-science, defined as a
combination of science, informatics,
computer science, cyberinfrastructure and
information technology is changing the way
all of these disciplines do both their
individual and collaborative work.
As semantic technologies have been gaining
momentum in various e-Science areas (for
example, W3C's new interest group for
semantic web health care and life science), it
is important to offer semantic-based
methodologies, tools, middleware to facilitate
scientific knowledge modeling, logical-based
hypothesis checking, semantic data
integration and application composition,
integrated knowledge discovery and data
analyzing for different e-Science
applications.
Partially influenced by the Artificial
Intelligence community, the Semantic Web
researchers have largely focused on formal
aspects of semantic representation languages
or general-purpose semantic application
development, with inadequate consideration
of requirements from specific science areas.
On the other hand, general science
researchers are growing ever more dependent
on the web, but they have no coherent agenda
for exploring the emerging trends on the
semantic web technologies. It urgently
requires the development of a multidisciplinary field to foster the growth and
development of e-Science applications based
on the semantic technologies and related
knowledge-based approaches.
Concepts: eScience
X-informatics
Lead Professor: Peter Fox
Description: In the last 2-3 years,
Informatics has attained greater visibility
across a broad range of disciplines, especially
in light of great successes in bio- and
biomedical-informatics and significant
challenges in the explosion of data and
information resources. Xinformatics is
intended to provide both the common
informatics knowledge as well as how it is
implemented in specific disciplines, e.g.
X=astro, geo, chem, etc. Informatics'
theoretical basis arises from information
science, cognitive science, social science,
library science as well as computer science.
As such, it aggregates these studies and adds
both the practice of information processing,
and the engineering of information systems.
Concepts: , eScience
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