Publications

Accelerating data-driven discovery with scientific asset management

Abstract

The overhead and burden of managing data in complex discovery processes involving experimental protocols with numerous data-producing and computational steps has become the gating factor that determines the pace of discovery. The lack of comprehensive systems to capture, manage, organize and retrieve data throughout the discovery life cycle leads to significant overheads on scientists' time and effort, reduced productivity, lack of reproducibility, and an absence of data sharing. In “creative fields” like digital photography and music, digital asset management (DAM) systems for capturing, managing, curating and consuming digital assets like photos and audio recordings, have fundamentally transformed how these data are used. While asset management has not taken hold in eScience applications, we believe that transformation similar to that observed in the creative space could be achieved in scientific …

Date
October 23, 2016
Authors
Robert E Schuler, Carl Kesselman, Karl Czajkowski
Conference
2016 IEEE 12th International Conference on e-Science (e-Science)
Pages
31-40
Publisher
IEEE