Supplementary data need to be kept in public repositories

University of Michigan, Ann Arbor, Michigan, United States
Nature (Impact Factor: 41.46). 01/2006; 438(7069):738. DOI: 10.1038/438738a
Source: PubMed


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Available from: Judith A Blake
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    • "With the exponential increase in exosomal studies, the datasets generated are multidimensional originating from heterogeneous experimental platforms. Whilst most of the generated molecular (protein/RNA/lipid) data are mentioned in the inline text of the published article, a vast majority is often placed as supplementary information or not provided (especially with high throughput techniques) (16, 17). Importantly, whether in inline text or in supplementary tables, these exosomal molecular data in published articles are not easily queriable (16). "
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    ABSTRACT: Exosomes are a class of extracellular vesicles that are secreted by various cell types. Unlike other extracellular vesicles (ectosomes and apoptotic blebs), exosomes are of endocytic origin. The roles of exosomes in vaccine/drug delivery, intercellular communication and as a possible source of disease biomarkers have sparked immense interest in them, resulting in a plethora of studies. Whilst multidimensional datasets are continuously generated, it is difficult to harness the true potential of the data until they are compiled and made accessible to the biomedical researchers. Here, we describe ExoCarta (, a manually curated database of exosomal proteins, RNA and lipids. Datasets currently present in ExoCarta are integrated from both published and unpublished exosomal studies. Since its launch in 2009, ExoCarta has been accessed by more than 16,000 unique users. In this article, we discuss the utility of ExoCarta for exosomal research and urge biomedical researchers in the field to deposit their datasets directly to ExoCarta.
    Full-text · Article · Apr 2012
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    • "Where suitable online publishers do not exist for data, authors may publish them in data centers and, less ideally, as online appendices. The latter are generally not as useful as data centers because they lack standards for file formats, data organization, and metadata (Santos et al. 2005). "
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    ABSTRACT: An open access copy of this article is available and complies with the copyright holder/publisher conditions. Despite policies and calls for scientists to make data available, this is not happening for most environmental- and biodiversity-related data because scientists' concerns about these efforts have not been answered and initiatives to motivate scientists to comply have been inadequate. Many of the issues regarding data availability can be addressed if the principles of “publication” rather than “sharing” are applied. However, online data publication systems also need to develop mechanisms for data citation and indices of data access comparable to those for citation systems in print journals.
    Full-text · Article · May 2009 · BioScience
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    • "Unfortunately this investment is often larger than one might guess: in the realm of microarray and particularly clinical information, it is nontrivial to decide what data to release, how to de-identify it, how to format it, and how to document it. Further, it is sometimes complicated to decide where to best publish data, since supplementary information and laboratory sites are transient[23], [24] Beyond a time investment, releasing data can induce fear. There is a possibility that the original conclusions may be challenged by a re-analysis, whether due to possible errors in the original study[25], a misunderstanding or misinterpretation of the data[26], or simply more refined analysis methods. "
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    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.
    Preview · Article · Feb 2007 · PLoS ONE
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