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Exploiting Diverse Sources of Scientific Data
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Introduction
The wealth and diversity of data collected and stored is growing rapidly as automation increases and technological costs diminish. Collecting and curating data is a crucial mechanism in collaborative scientific research. Many researchers share the effort and pool their data and knowledge in each database - where we understand the word database to denote any organised and structured collection irrespective of whether it is managed by a Database Management System. This provides a rapid mechanism for distributed communication. In many cases, the database is then published: within an organisation, within a community or publicly. The Digital Curation Centre is concerned with all stages in that creation, curation and publishing process.
Today's researchers have to make best use of this wealth of data resources in combination with the data their own research provides. There is huge potential for discovery by combining information from these multiple, diverse and distributed data resources. But their sheer number, complexity and diversity makes this a daunting task. The challenge for this theme is to understand how best to enable researchers' exploitation of this potential. There are two principal strategies supported by tools today: scientific workflows and data federation. The theme will explore these strategies as adopted by the research communities. For example, as found in the BIRN[1], SEEK [2] and GEON [3] projects.
Workshops related to exploiting diverse sources of scientific data
Reports related to exploiting diverse sources of scientific data
Presentations given during the theme
Issues in exploiting diverse sources of scientific data
Theme Contacts
Theme Leader: Prof. Jessie B. Kennedy
This theme was proposed and initiated by Prof. Malcolm Atkinson