Show simple item record

dc.contributor.authorSinaeepourfard, Amir
dc.contributor.authorGarcía Almiñana, Jordi
dc.contributor.authorMasip Bruin, Xavier
dc.contributor.authorMarín Tordera, Eva
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2018-01-19T10:07:35Z
dc.date.available2018-01-19T10:07:35Z
dc.date.issued2017
dc.identifier.citationSinaeepourfard, 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.
dc.identifier.isbn978-1-5090-4272-2
dc.identifier.urihttp://hdl.handle.net/2117/112963
dc.description.abstractThere 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 huge concern about how to organize and manage this data in all fields, and at all scales, for efficient usage and exploitation during all data life cycles. Although several specific Data LifeCycle (DLC) models have been recently defined for particular scenarios, we argue that there is no global and comprehensive DLC framework to be widely used in different fields. For this reason, in this paper we present and describe a comprehensive scenario agnostic Data LifeCycle (COSA-DLC) model successfully addressing all challenges included in the 6Vs, namely Value, Volume, Variety, Velocity, Variability and Veracity, not tailored to any specific environment, but easy to be adapted to fit the requirements of any particular field. We conclude that a comprehensive scenario agnostic DLC model provides several advantages, such as facilitating global data organization and integration, easing the adaptation to any kind of scenario, guaranteeing good quality data levels, and helping save design time and efforts for the research and industrial communities.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Gestió del coneixement
dc.subject.lcshData mining
dc.subject.lcshProduct life cycle
dc.subject.otherData LifeCycle
dc.subject.otherData management
dc.subject.otherData complexity
dc.subject.otherVs Challenges
dc.titleA comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management
dc.typeConference report
dc.subject.lemacMineria de dades
dc.subject.lemacCicle de vida del producte
dc.contributor.groupUniversitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes
dc.identifier.doi10.1109/eScience.2016.7870909
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/document/7870909/
dc.rights.accessOpen Access
local.identifier.drac21682961
dc.description.versionPostprint (author's final draft)
local.citation.authorSinaeepourfard, A.; García, J.; Masip, X.; Marín, E.
local.citation.contributorIEEE International Conference on eScience
local.citation.pubplaceBaltimore, Maryland
local.citation.publicationNameeScience 2016, 12th IEEE International Conference: October 23-27, 2016 Baltimore, Maryland, USA
local.citation.startingPage276
local.citation.endingPage281


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record