Name
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 inve... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MCSE.2017.3301213 | Computing in Science & Engineering |
Keywords | Field | DocType |
Data centers,Information exchange,Information sharing,Research and development,Scientiic computing,Internet,Web services,Program management | Metadata,World Wide Web,Computer science,Upload,Theoretical computer science,Program management,Big data,Scientific method | Journal |
Volume | Issue | ISSN |
20 | 3 | 1521-9615 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ann Christine Catlin | 1 | 84 | 8.73 |
| Chandima Hewa Nadungodage | 2 | 0 | 0.68 |
| Santiago Pujol | 3 | 2 | 1.07 |
| Lucas Laughery | 4 | 0 | 0.34 |
| Chungwook Sim | 5 | 0 | 0.68 |
| Aishwarya Puranam | 6 | 0 | 0.34 |
| Andrés M. Bejarano | 7 | 3 | 1.41 |