Gigascience
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Gigascience
General information ?
Published by:
Oxford University PressISSN:
2047-217XLast checked date:
02/2020Scope:
Big-data studies not only from biology, 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 shareable data.Additional free text:
"We are unique in the publishing industry as we publish ALL research objects (data, software tools, source code, workflows, bioboxes/docker and other elements related to the work underpinning the findings in the article). We do this within the context of a variety of article types, including Research, Data Notes, Technical Notes, Reviews and Commentaries. Our goal is to revolutionize publishing by improving research reproducibility and data dissemination, organization, understanding, and re-use. 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, provides data analysis tools and cloud-computing resources. Coupled with this, we have also built a Galaxy-based data analysis platform to host computational methods and workflows, maximizing use of the data, tools and workflows in our articles in a more accessible and reproducible environment." Website Instructions for authorsPeer review?
Peer review type:
ConventionalPeer review openness:
Reports published with namesSelectivity:
MegajournalOpen access?
Free to read option:
Paper can be free for anyone to readAllows green OA:
Not applicable as goldHas waivers:
YesHas membership system:
NoneAccess type:
Full goldLicence:
All papers are CC BYLevel of APC:
$1600-2500Other?
Ownership of publisher:
Owned by academics or an academic institutionLength restrictions:
NoneProvides altmetrics:
AltmetricCrossMark implemented:
NoHas a 2015 impact factor:
YesCopyedits:
No