Scientific workflows-models of computation that capture the orchestration of scientific codes to conduct in silico research-are gaining recognition as an attractive alternative to script-based orchestration. Even so, researchers developing scientific workflow technologies still face fundamental challenges, including developing the underlying science of scientific workflows. You can classify scientific-workflow environments according to three major phases of in silico research: discovery, production, and distribution. On the basis of this classification, scientists can make more-informed decisions regarding the adoption of particular workflow environments.
%0 Journal Article
%1 woollard2008scientific
%A Woollard, David
%A Medvidovic, Nenad
%A Gil, Yolanda
%A Mattmann, Chris
%D 2008
%J IEEE Software
%K diss forschungsdaten software
%N 4
%P 37-43
%R 10.1109/MS.2008.92
%T Scientific Software as Workflows: From Discovery to Distribution
%U https://ieeexplore.ieee.org/document/4548406/
%V 25
%X Scientific workflows-models of computation that capture the orchestration of scientific codes to conduct in silico research-are gaining recognition as an attractive alternative to script-based orchestration. Even so, researchers developing scientific workflow technologies still face fundamental challenges, including developing the underlying science of scientific workflows. You can classify scientific-workflow environments according to three major phases of in silico research: discovery, production, and distribution. On the basis of this classification, scientists can make more-informed decisions regarding the adoption of particular workflow environments.
@article{woollard2008scientific,
abstract = {Scientific workflows-models of computation that capture the orchestration of scientific codes to conduct in silico research-are gaining recognition as an attractive alternative to script-based orchestration. Even so, researchers developing scientific workflow technologies still face fundamental challenges, including developing the underlying science of scientific workflows. You can classify scientific-workflow environments according to three major phases of in silico research: discovery, production, and distribution. On the basis of this classification, scientists can make more-informed decisions regarding the adoption of particular workflow environments.},
added-at = {2020-01-25T12:08:14.000+0100},
author = {Woollard, David and Medvidovic, Nenad and Gil, Yolanda and Mattmann, Chris},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/258f7738887381a47e6c75caeba69a686/hermann},
doi = {10.1109/MS.2008.92},
interhash = {735ee9e73266a093d5a2bc0a592726b6},
intrahash = {58f7738887381a47e6c75caeba69a686},
issn = {1937-4194},
journal = {IEEE Software},
keywords = {diss forschungsdaten software},
month = {July},
number = 4,
pages = {37-43},
timestamp = {2020-01-25T11:08:14.000+0100},
title = {Scientific Software as Workflows: From Discovery to Distribution},
url = {https://ieeexplore.ieee.org/document/4548406/},
volume = 25,
year = 2008
}
