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Commentary
Nature 455, 28-29 (4 September 2008) | doi:10.1038/455028a; Published online 3 September 2008
Open Innovation Challenges
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Protect Enzyme from In Planta Degradation
A proposal for stable expression of an enzyme in corn seed is desired.
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Fast Growth of Transformed Soybean Shoots
A method for accelerating growth of soybean shoots is desired.
- More Challenges
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Analytical Organic Chemist / Phytochemist
- Cambridge Theranostics Ltd
- Cambridge United Kingdom
Scientist, Recombinant Protein Expression
- Novo Nordisk Foundation Center for Protein Research, University of Copenhagen
- Copenhagen 2200 Denmark
Big data: How do your data grow?
Clifford Lynch1
- Clifford Lynch is the executive director of the Coalition for Networked Information, 21 Dupont Circle, Washington DC 20036, USA, and an adjunct professor at the School of Information, University of California, Berkeley, California, 94720-4600, USA.
Email: cliff@cni.org
Abstract
Scientists need to ensure that their results will be managed for the long haul. Maintaining data takes big organization, says Clifford Lynch.
Data can be 'big' in different ways. National and international projects such as the Large Hadron Collider (LHC) at CERN, Europe's particle-physics laboratory near Geneva in Switzerland, or the Large Synoptic Survey Telescope planned for northern Chile, are frequently cited for the way they will challenge the state of the art in computation, networking and data storage.
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