Jenifer L. Skidmore

dblp:70/4416 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 77% High-performance computing · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › scientific computing systems
scientific computing infrastructure
0.011998
A Prototype Notebook-Based Environment for Computational Tools Computational Tools · SC 1998

Methods — techniques the papers use, named apart from their topics

web-based interface · 0.0visual specification language · 0.0
YearPublicationVenuePosition
2000 Computational experiments using distributed tools in a web-based electronic notebook environment
Allen D. Malony, Janice E. Cuny, Jenifer L. Skidmore, Matthew J. Sottile
Future Gener. Comput. Syst.3
1998 A Prototype Notebook-Based Environment for Computational Tools Computational Tools
abstract
The Virtual Notebook Environment (ViNE) is a platform-independent, web-based interface designed to support a range of scientific activities across distributed, heterogeneous computing platforms. ViNE provides scientists with a web-based version of the common paper-based lab notebook, but in addition, it provides support for collaboration and management of computational experiments. Collaboration is supported with the web-based approach, which makes notebook material generally accessible and with a hierarchy of security mechanisms that screen that access. ViNE provides uniform, system-transparent access to data, tools, and programs throughout the scientist's computing infrastructure. Computational experiments can be launched from ViNE using a visual specification language. The scientist is freed from concerns about inter-tool connectivity, data distribution, or data management details. ViNE also provides support for dynamically linking analysis results back into the notebook content. In this paper we present the ViNE system architecture and a case study of its use in neuropsychology research at the University of Oregon. Our case study with the Brain Electrophysiology Laboratory (BEL) addresses their need for data security and management, collaborative support, and distributed analysis processes. The current version of ViNE is a prototype system being tested with this and other scientific applications.
Jenifer L. Skidmore, Matthew J. Sottile, Janice E. Cuny, Allen D. Malony
SC1