Abstract
n broad terms, the project will provide the community with pilot data management
infrastructure solutions which bridge discipline, laboratory and institutional boundaries.
More specifically, the project will develop and test transformative data practices across the
whole research data lifecycle in structural sc
ience by using the domain of Chemistry to:
Develop a framework for data management, deployable across the full range of
Structural Science;
Explore a range of data acquisition techni
ques at different scales (complexity,
volume, definition);
Promote common and easy access to
data, experimental and computational
resources through the infrastructure, so that transaction costs can be minimised;
Advocate recognition in the community for sharing data to encourage its reuse;
Enable discovery of results in related disciplines via common terms;
Facilitate access to data underpinning publications with higher levels of verification,
resulting in higher quality research;
Enhance rapid communication across the community;
Support long-term preservation assuring future discovery of results.
infrastructure solutions which bridge discipline, laboratory and institutional boundaries.
More specifically, the project will develop and test transformative data practices across the
whole research data lifecycle in structural sc
ience by using the domain of Chemistry to:
Develop a framework for data management, deployable across the full range of
Structural Science;
Explore a range of data acquisition techni
ques at different scales (complexity,
volume, definition);
Promote common and easy access to
data, experimental and computational
resources through the infrastructure, so that transaction costs can be minimised;
Advocate recognition in the community for sharing data to encourage its reuse;
Enable discovery of results in related disciplines via common terms;
Facilitate access to data underpinning publications with higher levels of verification,
resulting in higher quality research;
Enhance rapid communication across the community;
Support long-term preservation assuring future discovery of results.
Original language | English |
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Publisher | UKOLN, University of Bath |
Number of pages | 17 |
Publication status | Published - 11 May 2009 |
Keywords
- Research Data Management
- Infrastructure
- Structural Science
ASJC Scopus subject areas
- General Computer Science