Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Bertram Ludäscher"'
Autor:
Lan Li, Bertram Ludäscher
Publikováno v:
International Journal of Digital Curation, Vol 17, Iss 1 (2022)
The goal of data cleaning is to make data fit for purpose, i.e., to improve data quality, through updates and data transformations, such that downstream analyses can be conducted and lead to trustworthy results. A transparent and reusable data cleani
Externí odkaz:
https://doaj.org/article/ef177669961f408289b7b2731d3da590
Publikováno v:
International Journal of Digital Curation, Vol 16, Iss 1 (2022)
Before data from multiple sources can be analyzed, data cleaning workflows (“recipes”) usually need to be employed to improve data quality. We identify a number of technical problems that make application of FAIR principles to data cleaning recip
Externí odkaz:
https://doaj.org/article/52c682f1dff5481ea9de09290e66741a
Publikováno v:
Research Ideas and Outcomes, Vol 2, Iss , Pp 1-38 (2016)
Overview. Taxonomic names are imperfect identifiers of specific and sometimes conflicting taxonomic perspectives in aggregated biodiversity data environments. The inherent ambiguities of names can be mitigated using syntactic and semantic conventions
Externí odkaz:
https://doaj.org/article/77024172f68d41ca8ae6551775e59bc4
Publikováno v:
PLoS Computational Biology, Vol 15, Iss 2, p e1006493 (2019)
Phylogenomic research is accelerating the publication of landmark studies that aim to resolve deep divergences of major organismal groups. Meanwhile, systems for identifying and integrating the products of phylogenomic inference-such as newly support
Externí odkaz:
https://doaj.org/article/490a1ffc3e1d47f989fba6f149621ba8
Publikováno v:
International Journal of Digital Curation, Vol 13, Iss 1 (2018)
Text data mining and analysis has emerged as a viable research method for scholars, following the growth of mass digitization, digital publishing, and scholarly interest in data re-use. Yet the texts that comprise datasets for analysis are frequently
Externí odkaz:
https://doaj.org/article/ecfdf098c4c846f284091ac4039741a9
Autor:
Qian Zhang, Yang Cao, Qiwen Wang, Duc Vu, Priyaa Thavasimani, Timothy McPhillips, Paolo Missier, Peter Slaughter, Christopher Jones, Matthew B. Jones, Bertram Ludäscher
Publikováno v:
International Journal of Digital Curation, Vol 12, Iss 2 (2018)
We illustrate how combining retrospective and prospectiveprovenance can yield scientifically meaningful hybrid provenancerepresentations of the computational histories of data produced during a script run. We use scripts from multiple disciplines (as
Externí odkaz:
https://doaj.org/article/89261fc52aa747f3a1ac87c9eeeab21f
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, Pp 298-313 (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/b89409ae8aa448d2b82c585624578f4c
Autor:
Víctor Cuevas-Vicenttín, 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, Pp 28-38 (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/4f4b07242af646e2847525681aa44c43
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, Pp 111-122 (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/1dfe6658e53d442780425b03d908c639
Publikováno v:
International Journal of Digital Curation, Vol 7, Iss 2, Pp 92-100 (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/7fb2f394feba4cdebb257473280b4ef8