Recent years have seen a dramatic increase in research and development of scientific workflow systems. These systems promise to make scientists more productive by automating data-driven and compute-intensive analyses. Despite many early achievements, the long-term success of scientific workflow technology critically depends on making these systems useable by "mere mortals", i.e.,�scientists who have a very good idea of the analysis methods they wish to assemble, but who are neither software developers nor scripting-language experts. With these users in mind, we identify a set of desiderata for scientific workflow systems crucial for enabling scientists to model and design the workflows they wish to automate themselves. As a first step towards meeting these requirements, we also show how the collection-oriented modeling and design (comad) approach for scientific workflows, implemented within the Kepler system, can help provide these critical, design-oriented capabilities to scientists.
%0 Journal Article
%1 McPhillips2008Design
%A McPhillips, Timothy
%A Bowers, Shawn
%A Zinn, Daniel
%A Ludaescher, Bertram
%D 2008
%J Future Generation Computer Systems
%K dakspub
%N 5
%P 541-551
%T Scientific workflow design for mere mortals
%U http://dx.doi.org/10.1016/j.future.2008.06.013
%V 25
%X Recent years have seen a dramatic increase in research and development of scientific workflow systems. These systems promise to make scientists more productive by automating data-driven and compute-intensive analyses. Despite many early achievements, the long-term success of scientific workflow technology critically depends on making these systems useable by "mere mortals", i.e.,�scientists who have a very good idea of the analysis methods they wish to assemble, but who are neither software developers nor scripting-language experts. With these users in mind, we identify a set of desiderata for scientific workflow systems crucial for enabling scientists to model and design the workflows they wish to automate themselves. As a first step towards meeting these requirements, we also show how the collection-oriented modeling and design (comad) approach for scientific workflows, implemented within the Kepler system, can help provide these critical, design-oriented capabilities to scientists.
@article{McPhillips2008Design,
abstract = {Recent years have seen a dramatic increase in research and development of scientific workflow systems. These systems promise to make scientists more productive by automating data-driven and compute-intensive analyses. Despite many early achievements, the long-term success of scientific workflow technology critically depends on making these systems useable by "mere mortals", i.e.,�scientists who have a very good idea of the analysis methods they wish to assemble, but who are neither software developers nor scripting-language experts. With these users in mind, we identify a set of desiderata for scientific workflow systems crucial for enabling scientists to model and design the workflows they wish to automate themselves. As a first step towards meeting these requirements, we also show how the collection-oriented modeling and design (comad) approach for scientific workflows, implemented within the Kepler system, can help provide these critical, design-oriented capabilities to scientists.},
added-at = {2009-09-04T23:07:31.000+0200},
author = {McPhillips, Timothy and Bowers, Shawn and Zinn, Daniel and Ludaescher, Bertram},
biburl = {https://www.bibsonomy.org/bibtex/270e0679c40af52ac905f95e6d9137d1b/daks},
interhash = {5e5b98345cbb29d0a89ba5bf3aa1437c},
intrahash = {70e0679c40af52ac905f95e6d9137d1b},
journal = {Future Generation Computer Systems},
keywords = {dakspub},
number = 5,
pages = {541-551},
timestamp = {2009-09-04T23:07:32.000+0200},
title = {Scientific workflow design for mere mortals},
url = {http://dx.doi.org/10.1016/j.future.2008.06.013},
volume = 25,
year = 2008
}