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New model in scientific publishing: GigaScience combines article and data publication
Date:7/11/2012

July 12, 2012, Hong Kong, China BGI, the world's largest genome sequencing institute, and their publishing partner BioMed Central, a leader in scientific data sharing, announce the launch of a new journal, GigaScience, which publishes large-scale biological research in a unique format. The journal combines standard article publishing with complete data hosting and analysis tools, all of which are open access and freely available.

This launch is a major first step towards revolutionizing the publishing industry with the open access publication of complete, reproducible accounts of all parts of data-intensive scientific research projects. Together GigaScience and its integrated database GigaDB provide scientific analyses, full dataset hosting, and access to the software tools used to conduct these analyses, along with publication of more traditional scientific articles describing the studies.

Having all these together finally allows readers to not only glean the scientific conclusions in the papers, but also to directly test these using the underlying data and analysis tools. By doing this, GigaScience offers a way to help overcome the growing problem of the lack of reproducibility of research. GigaScience publications also include Digital Object Identifier (DOIs) for all datasets in the journal database, GigaDB. This helps make datasets more permanent, as well as fully track-able, discoverable, linkable, and citable, which traditionally has only been possible for journal articles. Citation of data enables scientists, who generate these enormous datasets and share them with the community, to gain more appropriate credit for their contributions to research.

Laurie Goodman, Editor-in-Chief, says, "The full use of large-scale data has sadly lagged far behind our ability to produce it. The leaders of BGI realized they had the ability, given their vast computational resources, to create an innovative new journa
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Contact: Laurie Goodman
laurie@gigasciencejournal.com
GigaScience
Source:Eurekalert

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