Large scale research data archiving: Training for an inconvenient technology
| Autor: | Henry Neeman, S. Patrick Calhoun, David L. Akin, Brett Zimmerman |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
General Computer Science
business.industry Computer science Scale (chemistry) Research data archiving Petabyte 02 engineering and technology Terabyte 01 natural sciences Data science 010305 fluids & plasmas Theoretical Computer Science Term (time) Institutional research Software Modeling and Simulation 0103 physical sciences Computer data storage 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business |
| Zdroj: | Journal of Computational Science. 36:100523 |
| ISSN: | 1877-7503 |
| Popis: | At small scales, storage is straightforward to afford and to use, but at large scales – from several Terabytes (TB) to many Petabytes (PB) and soon Exabytes (EB) – tradeoffs must be made between cost and convenience, and training for use of such resources needs to take such inconveniences into account. A large scale, long term (over 10 year) institutional research data storage archive is described, focusing on both hardware and software. The technology choices give rise to inconveniences, which in turn not only lead to a crucial requirement for training on the proper use of the archive, but also inform the specifics of that training, as does each individual use case. |
| Databáze: | OpenAIRE |
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