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A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management

Author
Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E.
Type of activity
Presentation of work at congresses
Name of edition
IEEE 12th International Conference on eScience
Date of publication
2017
Presentation's date
2016-10-24
Book of congress proceedings
eScience 2016, 12th IEEE International Conference: October 23-27, 2016 Baltimore, Maryland, USA
First page
276
Last page
281
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/eScience.2016.7870909 Open in new window
Repository
http://hdl.handle.net/2117/112963 Open in new window
URL
http://ieeexplore.ieee.org/document/7870909/ Open in new window
Abstract
There is a vast amount of data being generated every day in the world, coming from a variety of sources, with different formats, quality levels, etc. This new data, together with the archived historical data, constitute the seed for future knowledge discovery and value generation in several fields of eScience. Discovering value from data is a complex computing process where data is the key resource, not only during its processing, but also during its entire life cycle. However, there is still a ...
Citation
Sinaeepourfard, A., García, J., Masip, X., Marín, E. A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management. A: IEEE International Conference on eScience. "eScience 2016, 12th IEEE International Conference: October 23-27, 2016 Baltimore, Maryland, USA". Baltimore, Maryland: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 276-281.
Keywords
Data LifeCycle, Data complexity, Data management, Vs Challenges
Group of research
CRAAX - Advanced Network Architectures Lab

Participants

Attachments