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.
Articles
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GigaScience 2013, 2:8Enabling metabolomic data reuse
There is a need to disseminate the increasing amount of metabolomic data in standard reproducible ways. Hosted and coordinated by the EBI, the open source MetaboLights repository, and COSMOS community standards consortium tackle this
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GigaScience 2013, 2:7Sharing bioresources rewarded
The Bioresource Research Impact Factor (BRIF) aims to address the lack of recognition for the sharing of bioresources such as databases and biobanks, enabling crediting and measurement of their impact and use
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GigaScience 2013, 2:6Neuroimaging data for pre-surgical planning
Presented here is test-retest functional MRI dataset for motor, language and spatial attention functions to validate fMRI tasks used in pre-surgical planning for tumor resection, and providing a resource for new methods and algorithms
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GigaScience 2013, 2:5Sequence squeeze: compression competitions
Aiming to tackle the genomics data-deluge, the sequence squeeze challenge was an open innovation contest to find sequence compression algorithms that used a novel dynamic leaderboard and cloud computing to assess entries in real-time
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GigaScience 2013, 2:4The insect squishome: new tools for biodiversity research
A new PCR-free sequencing-based method for metabarcoding provides new tools for studying eukaryotic biodiversity and gain quantitative taxonomic information from a DNA-soup extracted from bulk arthropod samples
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Publication fees
There are currently no article processing charges (APCs) for articles published in GigaScience due to generous support from the BGI.
GigaScience is a new integrated database and journal co-published in collaboration between BGI Shenzhen and BioMed Central, to meet the needs of a new generation of biological and biomedical research as it enters the era of "big-data." BGI (formerly known as Beijing Genomics Institute) was founded in 1999 and has since become the largest genomic organization in the world and has a proven track record of innovative, high profile research.
To achieve its goals, GigaScience has developed a novel publishing format that integrates manuscript publication with a database that will provide DOI assignment to every dataset. Supporting the open-data movement, we require that all supporting data and source code be publically available in a suitable public repository and/or under a public domain CC0 license in the BGI GigaScience database. Using the BGI cloud as a test environment, we also consider open-source software tools/methods for the analysis or handling of large-scale data. When submitting a manuscript, please contact us if you have datasets or cloud applications you would like us to host. To maximize data usability submitters are encouraged to follow best practice for metadata reporting and are given the opportunity to submit in ISA-Tab format.
From the blog
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- 03 May 2013
- Giga-Galaxy moves into the metabolomics universe
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