Scientific workflows: moving across paradigms
Modern scientific collaborations have opened up the opportunity to solve complex problems
that require both multidisciplinary expertise and large-scale computational experiments …
that require both multidisciplinary expertise and large-scale computational experiments …
Sharing interoperable workflow provenance: A review of best practices and their practical application in CWLProv
Background The automation of data analysis in the form of scientific workflows has become
a widely adopted practice in many fields of research. Computationally driven data-intensive …
a widely adopted practice in many fields of research. Computationally driven data-intensive …
Methods included: standardizing computational reuse and portability with the common workflow language
Methods included: standardizing computational reuse and portability with the Common
Workflow Language Page 1 54 COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 …
Workflow Language Page 1 54 COMMUNICATIONS OF THE ACM | JUNE 2022 | VOL. 65 …
FAIR computational workflows
Computational workflows describe the complex multi-step methods that are used for data
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …
collection, data preparation, analytics, predictive modelling, and simulation that lead to new …
Context, Composition, Automation, and Communication: The C2AC Roadmap for Modeling and Simulation
Simulation has become, in many application areas, a sine qua non. Most recently, COVID-
19 has underlined the importance of simulation studies and limitations in current practices …
19 has underlined the importance of simulation studies and limitations in current practices …
Storing, indexing and querying large provenance data sets as RDF graphs in apache HBase
A Chebotko, J Abraham, P Brazier… - 2013 IEEE Ninth …, 2013 - ieeexplore.ieee.org
Provenance, which records the history of an in-silico experiment, has been identified as an
important requirement for scientific workflows to support scientific discovery reproducibility …
important requirement for scientific workflows to support scientific discovery reproducibility …
VAT: a system for visualizing, analyzing and transforming spatial data in science
C Authmann, C Beilschmidt, J Drönner, M Mattig… - Datenbank …, 2015 - Springer
The amount of available data changes the style of research in geo-scientific domains, and
thus influences the requirements for spatial processing systems. To support data-driven …
thus influences the requirements for spatial processing systems. To support data-driven …
Infrastruktur für ein Data Mining Design Framework
K Jannaschk - PhDthesis, Christian-Albrechts University, Kiel, 2017 - Springer
TEMPORA “(Macaskill ua (2013), Gellman (2013)). Diese Namen stehen synonym für
Programme, welche ungerichtet und wahllos Kommunikationsdaten und deren …
Programme, welche ungerichtet und wahllos Kommunikationsdaten und deren …
A brief tour through provenance in scientific workflows and databases
B Ludäscher - Building trust in information: Perspectives on the …, 2016 - Springer
Within computer science, the term provenance has multiple meanings, due to different
motivations, perspectives, and assumptions prevalent in the respective communities. This …
motivations, perspectives, and assumptions prevalent in the respective communities. This …
[HTML][HTML] The magazine archive includes every article published in Communications of the ACM for over the past 50 years.
MR Crusoe, S Abeln, A Iosup, P Amstutz… - … of the ACM, 2022 - cacmb4.acm.org
Computational workflows are widely used in data analysis, enabling innovation and
decision-making for the modern society. But their growing popularity is also a cause for …
decision-making for the modern society. But their growing popularity is also a cause for …