Robert Schuler

Experiences with DERIVA: An asset management platform for accelerating eScience

TitleExperiences with DERIVA: An asset management platform for accelerating eScience
Publication TypeConference Paper
Year of Publication2017
AuthorsA. Bugacov, K. Czajkowski, C. Kesselman, A. Kumar, R. E. Schuler, and H. Tangmunarunkit
Conference NameProceedings - 13th IEEE International Conference on eScience, eScience 2017
Abstract

The pace of discovery in eScience is increasingly dependent on a scientist's ability to acquire, curate, integrate, analyze, and share large and diverse collections of data. It is all too common for investigators to spend inordinate amounts of time developing ad hoc procedures to manage their data. In previous work, we presented DERIVA, a Scientific Asset Management System, designed to accelerate data driven discovery. In this paper, we report on the use of DERIVA in a number of substantial and diverse eScience applications. We describe the lessons we have learned, both from the perspective of the DERIVA technology, as well as the ability and willingness of scientists to incorporate Scientific Asset Management into their daily workflows. © 2017 IEEE.

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