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Issue No. 03 - May./Jun. (2018 vol. 20)
ISSN: 1521-9615
pp: 49-70
Ann Christine Catlin , Purdue University
Chandima HewaNadungodage , Purdue University
Santiago Pujol , Purdue University
Lucas Laughery , Purdue University
Chungwook Sim , University of Nebraska–Lincoln
Aishwarya Puranam , Purdue University
Andres Bejarano , Purdue University
DataCenterHub is a new solution for preserving, sharing, and discovering data produced by scientific research. Datasets are organized by experiments, with a simple common structure for metadata, file collections, and key parameters. Researchers associate annotations, reports, media, and measurements to each experiment, and interactive viewers interpret data by type and use so that they can be investigated before downloading. Parameters are extracted for discovery of key data otherwise hidden in files. DataCenterHub provides an alternative discipline-neutral solution, with the goal of helping researchers classify and share data for easy discovery and exploration.
data handling, meta data, natural sciences computing, pattern classification, peer-to-peer computing
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