Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bertram Ludäscher"'
Publikováno v:
International Journal of Digital Curation, Vol 11, Iss 2 (2017)
In this paper we describe a complex dataset used to study the circulation and wind-driven flows in the Wax Lake Delta, Louisiana, USA under winter storm conditions. The whole package bundles a large dataset (approximately 74 GB), which includes the n
Externí odkaz:
https://doaj.org/article/055c05a4a78d42c581ec15d8f13be174
Autor:
Timothy McPhillips, Tianhong Song, Tyler Kolisnik, Steve Aulenbach, Khalid Belhajjame, R. Kyle Bocinsky, Yang Cao, James Cheney, Fernando Chirigati, Saumen Dey, Juliana Freire, Christopher Jones, James Hanken, Keith W. Kintigh, Timothy A. Kohler, David Koop, James A. Macklin, Paolo Missier, Mark Schildhauer, Christopher Schwalm, Yaxing Wei, Mark Bieda, Bertram Ludäscher
Publikováno v:
International Journal of Digital Curation, Vol 10, Iss 1 (2015)
Scientific workflow management systems offer features for composing complex computational pipelines from modular building blocks, executing the resulting automated workflows, and recording the provenance of data products resulting from workflow runs.
Externí odkaz:
https://doaj.org/article/e25994e3020d46f0b3bb879fbb369366
Autor:
Tianhong Song, Sven Köhler, Bertram Ludäscher, James Hanken, Maureen Kelly, David Lowery, James A. Macklin, Paul J. Morris, Robert A. Morris
Publikováno v:
International Journal of Digital Curation, Vol 9, Iss 2 (2014)
Data curation is increasingly important. Our previous work on a Kepler curation package has demonstrated advantages that come from automating data curation pipelines by using workflow systems. However, manually designed curation workflows can be erro
Externí odkaz:
https://doaj.org/article/24b61075c99148d5aa6ebd5b0b4561f7
Autor:
VÃctor Cuevas-VicenttÃn, Parisa Kianmajd, Bertram Ludäscher, Paolo Missier, Fernando Chirigati, Yaxing Wei, David Koop, Saumen Dey
Publikováno v:
International Journal of Digital Curation, Vol 9, Iss 2 (2014)
Scientific workflows and their supporting systems are becoming increasingly popular for compute-intensive and data-intensive scientific experiments. The advantages scientific workflows offer include rapid and easy workflow design, software and data r
Externí odkaz:
https://doaj.org/article/082334c877924dcfa314bdb4a195db51
Publikováno v:
International Journal of Digital Curation, Vol 7, Iss 2 (2012)
Scientific workflows are typically used to automate the processing, analysis and management of scientific data. Most scientific workflow programs provide a user-friendly graphical user interface that enables scientists to more easily create and visua
Externí odkaz:
https://doaj.org/article/1aada9e3f9a1487fac9cf9f65c55eaec
Autor:
Paolo Missier, Bertram Ludäscher, Saumen Dey, Michael Wang, Tim McPhillips, Shawn Bowers, Michael Agun, Ilkay Altintas
Publikováno v:
International Journal of Digital Curation, Vol 7, Iss 1 (2012)
Experimental science can be thought of as the exploration of a large research space, in search of a few valuable results. While it is this “Golden Data†that gets published, the history of the exploration is often as valuable to the scienti
Externí odkaz:
https://doaj.org/article/bc920ff0dd0549fc8db7310e877124ff
Before data from multiple sources can be analyzed, data cleaning workflows (“recipesâ€) usually need to be employed to improve data quality. We identify a number of technical problems that make application of FAIR principles to data cleani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81587fdccccbf3eae3e416150f86d0bd
