Data from: Sharing detailed research data is associated with increased citation rate

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To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data.

Title Raw Citation Counts and Covariates
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Description Raw bibliometric data used in the analysis, combining data extracted from Thomson ISI Web of Science, PubMed, the Ntzani and Ioannidis 2003 Lancet paper, and the author's own investigations.
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Title Statistical analysis R script
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Description Statistical R script to compute analysis and graphics in the paper. Reads rawdata.csv as input.
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Title Cohort Publication Bibliography
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Description A list of gene expression microarray study publications identified by Ntzani and Ioannidis from Lancet 2003 and used as our cohort for analysis.
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Title Locations of Publicly Available Data for the Cohort
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Description Locations of publicly available data for each of the gene expression microarray studies in our cohort.
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When using this data, please cite the original article:

Piwowar HA, Day RS, Fridsma DB (2007) Sharing detailed research data is associated with increased citation rate. PLoS ONE 2(3): e308.doi:10.1371/journal.pone.0000308

Additionally, please cite the Dryad data package:

Piwowar HA, Day RS, Fridsma DB (2007) Data from: Sharing detailed research data is associated with increased citation rate. Dryad Digital Repository. doi:10.5061/dryad.j2c4g
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DOI doi:10.5061/dryad.j2c4g
Pageviews 699
Keywords Information Dissemination/methods, Periodicals as Topic/statistics & numerical data, Publications/statistics & numerical data, Oligonucleotide Array Sequence Analysis, Biomedical Research/trends, data sharing
Date Submitted 2011-05-26T16:49:28Z
Abstract
Sharing research data provides benefit to the general scientific community, but the benefit is less obvious for the investigator who makes his or her data available. We examined the citation history of 85 cancer microarray clinical trial publications with respect to the availability of their data. The 48% of trials with publicly available microarray data received 85% of the aggregate citations. Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations, independently of journal impact factor, date of publication, and author country of origin using linear regression. This correlation between publicly available data and increased literature impact may further motivate investigators to share their detailed research data.

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