Increased interactivity and improvements to the GigaScience database, GigaDB

Si Zhe Xiao, Chris Armit, Scott Edmunds, Laurie Goodman, Peter Li, Mary Ann Tuli, Christopher Ian Hunter*

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    6 Citations (Scopus)

    Abstract

    With a large increase in the volume and type of data archived in GigaScience Database (GigaDB) since its launch in 2011, we have studied the metrics and user patterns to assess the important aspects needed to best suit current and future use. This has led to new front-end developments and enhanced interactivity and functionality that greatly improve user experience. In this article, we present an overview of the current practices including the Biocurational role of the GigaDB staff, the broad usage metrics of GigaDB datasets and an update on how the GigaDB platform has been overhauled and enhanced to improve the stability and functionality of the codebase. Finally, we report on future directions for the GigaDB resource.

    Original languageEnglish
    Article numberbaz016
    JournalDatabase
    Volume2019
    DOIs
    Publication statusPublished - Feb 2019

    Scopus Subject Areas

    • Information Systems
    • Biochemistry, Genetics and Molecular Biology(all)
    • Agricultural and Biological Sciences(all)

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