Accelerating Data-driven Discovery with Scientific Asset Management. Schuler, R., Kesselman, C., & Czajkowski, K. In Proceedings of the 12th IEEE International Conference on eScience, 2016. IEEE.
Accelerating Data-driven Discovery with Scientific Asset Management [link]Paper  abstract   bibtex   
Current approaches for ment have failed to keep pace with the needs of increasingly data-intensive science. 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, digi- tal 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 domains if appropriate ecosystems of asset management tools existed, tools to capture, manage, and curate data throughout the scientific discovery process. We introduce a framework and infrastructure for asset management in eScience and present initial results from its usage in active research use cases.
@inproceedings{schuler_accelerating_2016,
	title = {Accelerating {Data}-driven {Discovery} with {Scientific} {Asset} {Management}},
	url = {https://www.zotero.org/crisaless/collections/SP6RMP59/items/8MC3BI7S/attachment/3FEQG8G8/reader},
	abstract = {Current approaches for
ment have failed to keep pace with the needs of increasingly data-intensive science. 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, digi- tal 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 domains if appropriate ecosystems of asset management tools existed, tools to capture, manage, and curate data throughout the scientific discovery process. We introduce a framework and infrastructure for asset management in eScience and present initial results from its usage in active research use cases.},
	booktitle = {Proceedings of the 12th {IEEE} {International} {Conference} on {eScience}},
	publisher = {IEEE},
	author = {Schuler, Robert and Kesselman, Carl and Czajkowski, Karl},
	year = {2016},
}
Downloads: 0
About
Documentation
Keywords
Search
Users
Terms and Conditions of Use
Privacy Policy
Sitemap
© BibBase.org 2021