A tool for public analysis of scientific data

A tool for public analysis of scientific data

The scientific method encourages sharing data with other researchers to independently verify conclusions. Currently, technical barriers impede such public scrutiny. A strategy for offering scientific data for public analysis is described. With this strategy, effectively no requirements of software i...

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Bibliographic Details
Main Authors: D Haglin, R Roiger, J Hakkila, T Giblin
Format: Article
Language:English
Published: Ubiquity Press 2006-01-01
Series:Data Science Journal
Subjects:
Scientific Data
Data Mining
Machine Learning
KDD
Gamma Ray Burst
Online Access:http://datascience.codata.org/articles/360
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spelling doaj-35a2358220784f4eab1329c8624267c42020-11-25T02:21:59ZengUbiquity PressData Science Journal1683-14702006-01-014395310.2481/dsj.4.39362A tool for public analysis of scientific dataD Haglin0R Roiger1J Hakkila2T Giblin3Computer and Information Sciences Dept., Minnesota State University, Mankato, USAComputer and Information Sciences Dept., Minnesota State University, Mankato, USADepartment of Physics and Astronomy, The College of Charleston, South Carolina, USADepartment of Physics and Astronomy, The College of Charleston, South Carolina, USAThe scientific method encourages sharing data with other researchers to independently verify conclusions. Currently, technical barriers impede such public scrutiny. A strategy for offering scientific data for public analysis is described. With this strategy, effectively no requirements of software installation (other than a web browser) or data manipulation are imposed on other researchers to prepare for perusing the scientific data. A prototype showcasing this strategy is described.http://datascience.codata.org/articles/360Scientific DataData MiningMachine LearningKDDGamma Ray Burst
collection DOAJ
language English
format Article
sources DOAJ
author D Haglin
R Roiger
J Hakkila
T Giblin
spellingShingle D Haglin
R Roiger
J Hakkila
T Giblin
A tool for public analysis of scientific data
Data Science Journal
Scientific Data
Data Mining
Machine Learning
KDD
Gamma Ray Burst
author_facet D Haglin
R Roiger
J Hakkila
T Giblin
author_sort D Haglin
title A tool for public analysis of scientific data
title_short A tool for public analysis of scientific data
title_full A tool for public analysis of scientific data
title_fullStr A tool for public analysis of scientific data
title_full_unstemmed A tool for public analysis of scientific data
title_sort tool for public analysis of scientific data
publisher Ubiquity Press
series Data Science Journal
issn 1683-1470
publishDate 2006-01-01
description The scientific method encourages sharing data with other researchers to independently verify conclusions. Currently, technical barriers impede such public scrutiny. A strategy for offering scientific data for public analysis is described. With this strategy, effectively no requirements of software installation (other than a web browser) or data manipulation are imposed on other researchers to prepare for perusing the scientific data. A prototype showcasing this strategy is described.
topic Scientific Data
Data Mining
Machine Learning
KDD
Gamma Ray Burst
url http://datascience.codata.org/articles/360
work_keys_str_mv AT dhaglin atoolforpublicanalysisofscientificdata
AT rroiger atoolforpublicanalysisofscientificdata
AT jhakkila atoolforpublicanalysisofscientificdata
AT tgiblin atoolforpublicanalysisofscientificdata
AT dhaglin toolforpublicanalysisofscientificdata
AT rroiger toolforpublicanalysisofscientificdata
AT jhakkila toolforpublicanalysisofscientificdata
AT tgiblin toolforpublicanalysisofscientificdata
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