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Data Near Here: Bringing Relevant Data Closer to Scientists
Found in: Computing in Science & Engineering
By V.M. Megler,David Maier
Issue Date:May 2013
pp. 44-53
Large scientific repositories risk losing value as their holdings expand, because scientists must work harder to locate particular datasets of interest. In an effort to resolve this issue, the Data Near Here application applies information retrieval techni...
Are Datasets Like Documents?: Evaluating Similarity-Based Ranked Search Over Scientific Data
Found in: IEEE Transactions on Knowledge and Data Engineering
By V.M. Megler,David Maier
Issue Date:May 2014
pp. 1
The past decade has seen a dramatic increase in the amount of data captured and made available to scientists for research. This increase amplifies the difficulty scientists face in finding the data most relevant to their information needs. In prior work, w...
Taming the metadata mess
Found in: 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW)
By V.M. Megler
Issue Date:April 2013
pp. 286-289
The rapid growth of scientific data shows no sign of abating. This growth has led to a new problem: with so much scientific data at hand, stored in thousands of datasets, how can scientists find the datasets most relevant to their research interests? We ha...