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Life Sciences - Systems Biology and Bioinformatics | GigaScience

GigaScience
BioMed Central

GigaScience

Editor-in-Chief: Laurie Goodman

ISSN: 2047-217X (electronic version)

Journal no. 13742

BioMed Central

Open access BioMed Central
  • Interdisciplinary journal of the life sciences publishing big data informatics research
  • First decision in 3 weeks
  • Only journal offering both a publishing platform and cloud computing resources for authors
  • Publishes big data of any type and no size restrictions with the article
GigaScience aims to revolutionize data dissemination, organization, understanding, and use. An online open-access open-data journal, we publish 'big-data' studies from the entire spectrum of life and biomedical sciences. To achieve our goals, the journal has a novel publication format: one that links standard manuscript publication with an extensive database that hosts all associated data and provides data analysis tools and cloud-computing resources.

Related subjects » Biochemistry & Biophysics - Bioinformatics - Database Management & Information Retrieval - Systems Biology and Bioinformatics

Abstracted/Indexed in 

EMBASE, Google Scholar, CAB International, Academic OneFile, Academic Search, CAB Abstracts, Health Reference Center Academic, OCLC, Summon by ProQuest

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  • Aims and Scope

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    GigaScience aims to revolutionize data dissemination, organization, understanding, and use. An online open-access open-data journal, we publish 'big-data' studies from the entire spectrum of life and biomedical sciences. To achieve our goals, the journal has a novel publication format: one that links standard manuscript publication with an extensive database that hosts all associated data and provides data analysis tools and cloud-computing resources.

    Our scope covers not just 'omic' type data and the fields of high-throughput biology currently serviced by large public repositories, but also the growing range of more difficult-to-access data, such as imaging, neuroscience, ecology, cohort data, systems biology and other new types of large-scale sharable data.

    GigaScience aims to increase transparency and reproducibility of research, emphasizing data quality and utility over subjective assessments of immediate impact. To enable future access and analyses, we require that all supporting data and source code be publically available and we provide an extensive database and cloud repository that can host associated data, supplementary information and tools.

    A unique feature of our database is that important associated datasets can be given DOIs, providing both permanency and an additional citation. Thus GigaScience provides easier access to associated data as well as recognition for data producers.

    GigaScience aims to help the growing number of studies that are based on extremely large data sets maximize their future access, analysis and re-use.

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