GigaScience

SJR Rank #2,807H-index: 106SJR: 1.387Best quartile: Q1Open AccessAPC: US$2,638Listed in DOAJ
Journal website: aims, scope and author guidelines
Publisher

Oxford University Press

Country

United Kingdom

Type

journal

SJR by Edition

2022202500.951.92.853.8

Subject Categories

  • Computer Science ApplicationsQ1
  • Health InformaticsQ1

Areas: Computer Science · Medicine

Most published research topics

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomicsChromosomal and Genetic VariationsBioinformatics and Genomic NetworksScientific Computing and Data ManagementGenomics and Rare DiseasesCell Image Analysis TechniquesGene expression and cancer classificationGut microbiota and healthGenetic Associations and Epidemiology

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs090180270360

Documents per Year

2022202504590135180

Detailed Information

ISSN

2047-217X

SJR Best Quartile

Q1

Region

Western Europe

Citations per Document (2 years)

4.33

References per Document

74.51

Coverage

2012-2026

Scope

GigaScience aims to revolutionize publishing by promoting reproducibility of analyses and data dissemination, organization, understanding, and use. As an open access and open-data journal, we publish ALL research objects (data, software tools and workflows) from 'big data' studies across the entire spectrum of life and biomedical sciences. These resources are managed using the FAIR Principles for scientific data management and stewardship that state that research data should be Findable, Accessible, Interoperable and Reusable. 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. GigaDB provides a direct link between the published manuscript and the relevant supporting data. We have also built GigaGalaxy, a Galaxy-based data analysis platform to host computational methods and workflows, maximizing use of the data, tools and workflows in our papers in a more accessible and reproducible environment. 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 shareable data.

Metrics from SCImago Journal Rank 2025. View on SCImago