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A Cyberplatform for Sharing Scientific Research Data at DataCenterHub

Authors :
Ann Christine Catlin
Andres Bejarano
Santiago Pujol
Aishwarya Y. Puranam
Chungwook Sim
Lucas Laughery
Chandima Hewanadungodage
Source :
Computing in Science & Engineering. 20:49-70
Publication Year :
2018
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2018.

Abstract

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.

Details

ISSN :
1558366X and 15219615
Volume :
20
Database :
OpenAIRE
Journal :
Computing in Science & Engineering
Accession number :
edsair.doi...........208180a4f062442be07edb07d897883c
Full Text :
https://doi.org/10.1109/mcse.2017.3301213