The Evolution of myExperiment

Roure, David De; Goble, Carole; Aleksejevs, Sergejs; Bechhofer, Sean; Bhagat, Jiten; Cruickshank, Don; Fisher, Paul; Kollara, Nandkumar; Michaelides, Danius T.; Missier, Paolo; Newman, David; Ramsden, Marcus; Roos, Marco; Wolstencroft, Katy; Zaluska, Ed; Zhao, Jun

doi:10.1109/escience.2010.59

Cited by 13 publications

(9 citation statements)

References 22 publications

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“…We note a significant growth in attention to research data, as stakeholders come to terms with data management plans and data sharing policies and as citizen concern grows for the responsible use of data, but with this comes at least an equal rise in the methods and process of data handling, processing, and analytics. We suggest that issues of sharing and responsible use of process are at least as important as those of data, evidenced through prior work in sharing scientific workflows [3].…”

Section: Affordances Of the Digitalmentioning

confidence: 90%

Plans and performances: Parallels in the production of science and music

Roure

Klyne

Page

et al. 2016

2016 IEEE 12th International Conference on E-Science (E-Science)

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Whether in the science lab or the music studio, we go in with a plan, we perform, and we make a record of that performance for distribution, consumption, and reuse. Both domains are increasingly data-intensive, with the adoption of new technology, and also socially intensive with democratised and growing citizen engagement. The music industry has embraced digital technology throughout the lifecycle from composition to consumption; scientific practice, and scholarly communication, are also undergoing transformation. Is the music industry more digital than science? We suggest that comparing and contrasting these two systems will provide insights of mutual benefit. Our investigation explores the notion of the Digital Music Object, analogous to the Research Object, for rich capture, sharing and reuse of both process and content.

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Section: Affordances Of the Digitalmentioning

confidence: 90%

Plans and performances: Parallels in the production of science and music

Roure

Klyne

Page

et al. 2016

2016 IEEE 12th International Conference on E-Science (E-Science)

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“…The HTTP redirect signals the transition from non-information resource to the client. The practical consequence of the redirect is, in our experience, a (variable but) measurable additional delay for each complete transfer of information between server and client [3]; there is added complexity when compared to a REST API in which everything is simply an information resource.…”

Section: Content Negotiationmentioning

confidence: 99%

“…The authors have a particular interest in enabling third generation e-Research [3], where we have found a common agreed model is key to enabling domain experts, researchers, and developers to collaborate with each other over increasingly vast quantities of information. Here it is important for a researcher (or developer) to be able to use clear domain models that separate concerns to enable the manipulation of the domain data: this is a task RDF has proven adept at.…”

Section: A Harmonious Future Together In the Domainmentioning

confidence: 99%

Reminiscing About 15 Years of Interoperability Efforts

Sompel¹,

Nelson²

2015

D-Lib Magazine

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At a first glance there might appear to be an obvious alignment and overlap between the approaches prescribed by REST and Linked Data. On more detailed inspection divergences in scope and applicability present themselves, and for some aspects, incompatibility. In this paper we investigate these similarities and differences and suggest the coupling is worthy of a third look: in combination as a flexible environment in which the developer can focus on domain driven applications.

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“…Another important project is called myExperiment [20], which allows the sharing of scientific workflows among its many users. This system has been successfully used.…”

Section: Related Researchmentioning

confidence: 99%

Design of the FutureGrid experiment management framework

Laszewski

Fox

Wang

et al. 2010

2010 Gateway Computing Environments Workshop (GCE)

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Abstract-FutureGrid provides novel computing capabilities that enable reproducible experiments while simultaneously supporting dynamic provisioning. This paper describes the FutureGrid experiment management framework to create and execute large scale scientific experiments for researchers around the globe. The experiments executed are performed by the various users of FutureGrid ranging from administrators, software developers, and end users. The Experiment management framework will consist of software tools that record user and system actions to generate a reproducible set of tasks and resource configurations. Additionally, the experiment management framework can be used to share not only the experiment setup, but also performance information for the specific instantiation of the experiment. This makes it possible to compare a variety of experiment setups and analyze the impact Grid and cloud software stacks have.

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The Evolution of myExperiment

Cited by 13 publications

References 22 publications

Plans and performances: Parallels in the production of science and music

Plans and performances: Parallels in the production of science and music

Reminiscing About 15 Years of Interoperability Efforts

Design of the FutureGrid experiment management framework

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