A preliminary review of influential works in data-driven discovery

The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1100 applications and each applicant had the opportunity to list up to five influential works in the general field of “Big Data” for scientific discovery....

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Detalles Bibliográficos
Autores principales: Stalzer, Mark, Mentzel, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975741/
https://www.ncbi.nlm.nih.gov/pubmed/27540499
http://dx.doi.org/10.1186/s40064-016-2888-8
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author Stalzer, Mark
Mentzel, Chris
author_facet Stalzer, Mark
Mentzel, Chris
author_sort Stalzer, Mark
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description The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1100 applications and each applicant had the opportunity to list up to five influential works in the general field of “Big Data” for scientific discovery. We collected nearly 5000 references and 53 works were cited at least six times. This paper contains our preliminary findings.
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spelling pubmed-49757412016-08-18 A preliminary review of influential works in data-driven discovery Stalzer, Mark Mentzel, Chris Springerplus Review The Gordon and Betty Moore Foundation ran an Investigator Competition as part of its Data-Driven Discovery Initiative in 2014. We received about 1100 applications and each applicant had the opportunity to list up to five influential works in the general field of “Big Data” for scientific discovery. We collected nearly 5000 references and 53 works were cited at least six times. This paper contains our preliminary findings. Springer International Publishing 2016-08-05 /pmc/articles/PMC4975741/ /pubmed/27540499 http://dx.doi.org/10.1186/s40064-016-2888-8 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Review
Stalzer, Mark
Mentzel, Chris
A preliminary review of influential works in data-driven discovery
title A preliminary review of influential works in data-driven discovery
title_full A preliminary review of influential works in data-driven discovery
title_fullStr A preliminary review of influential works in data-driven discovery
title_full_unstemmed A preliminary review of influential works in data-driven discovery
title_short A preliminary review of influential works in data-driven discovery
title_sort preliminary review of influential works in data-driven discovery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4975741/
https://www.ncbi.nlm.nih.gov/pubmed/27540499
http://dx.doi.org/10.1186/s40064-016-2888-8
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