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A Cyberplatform for Sharing Scientific Research Data at DataCenterHub
- 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.
- Subjects :
- Structure (mathematical logic)
Information retrieval
General Computer Science
SIMPLE (military communications protocol)
Computer science
business.industry
05 social sciences
Big data
General Engineering
050301 education
030226 pharmacology & pharmacy
Metadata
03 medical and health sciences
Upload
0302 clinical medicine
Key (cryptography)
business
0503 education
Subjects
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