From the Executive Summary:
"Data, Data Analysis, and Visualization are vital for progress in the increasingly data-intensive realm of science and engineering research and education. Any cogent plan ... must address the phenomenal growth of data in all its various dimensions. Scientists and engineers are producing, accessing, analyzing, integrating, storing and retrieving massive amounts of data daily ... a trend that is expected to see significant growth in the very near future as advances ... automated data acquisition ... and other methods and technologies materialize. The anticipated growth in both the production and repurposing of digital data raises complex issues not only of scale and heterogeneity, but also of stewardship, curation and long-term access."'nuf said.
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