Metaphors for Making Data Broadly Available

Printer-friendly version

Concepts:eScience

Abstract:

As international attention to scientific data continues to grow in today's born digital and Internet age, we take the opportunity to re-visit long-standing approaches to managing data and to critically examine some proposed new capabilities. In this presentation we build on our preliminary exploration of multiple metaphors co-existing in support of a healthy data ecosystem, and discuss what we see as key data ecosystem attributes embedded in modern approaches to data managment across the broad spectrum of geoscientific data and geoscientists. We conclude with a set of suggestions and actions to engage the world wide data and information science community to advance such a discussion.

History

DateCreated ByLink
April 25, 2012
03:31:41
Peter FoxDownload

Related Research Areas:

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