http://precedings.nature.com/tags/sharing Recently posted documents tagged with 'sharing' Nature Publishing Group en Nature Precedings http://precedings.nature.com/images/header_logo.gif http://precedings.nature.com http://dx.doi.org/10.1038/npre.2007.425.1 BackgroundMany initiatives and repositories exist to encourage the sharing of research data, and thousands of microarray gene expression datasets are publicly available. Many studies reuse this data, but it is not well understood which datasets are reused and for what purpose.Materials and MethodsWe trained a machine-learning algorithm to automatically classify full-text gene expression microarray studies into two classes: those that generated original microarray data (n=900) and those which only reused data (n=250). We then compared the Medical Subject Heading (MeSH) terms of two classes to identify MeSH topics which were over- or under-represented by publications with reused data.ResultsStudies on humans, mice, chordata, and invertebrates were equally likely to be conducted using original or shared microarray data, whereas shared data was used in a relatively high proportion of studies involving fungi (odds ratio (OR)=2.4), and a relatively low proportion involving rats, bacteria, viruses, plants, or genetically-altered or inbred animals (ORDiscussionIdentifying areas of particularly successful microarray data reuse—such as Saccharomyces cerevisiae datasets and studies of promoter regions and evolution—can highlight best practices to be used when developing research agendas, tools, standards, repositories, and communities in areas which have yet to receive major benefits from shared data. http://dx.doi.org/10.1038/npre.2007.425.1 Tue, 17 Jul 2007 13:13:40 UTC Examining the uses of shared data doi:10.1038/npre.2007.425.1 2007-07-17 Heather A. Piwowar Nature Precedings 2007-07-17T13:13:40Z Poster Bioinformatics http://creativecommons.org/licenses/by/2.5/ http://dx.doi.org/10.1038/npre.2007.361.1 Presentation based on the publication here: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.0000308Sharing 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. http://dx.doi.org/10.1038/npre.2007.361.1 Thu, 05 Jul 2007 13:07:43 UTC Sharing Detailed Research Data Is Associated with Increased Citation Rate doi:10.1038/npre.2007.361.1 2007-07-05 Heather A. Piwowar Nature Precedings 2007-07-05T13:07:43Z Presentation Bioinformatics http://creativecommons.org/licenses/by/2.5/