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

doi:10.1093/database/baz016

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 journal › Journal article › peer-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 language	English
Article number	baz016
Journal	Database
Volume	2019
DOIs	https://doi.org/10.1093/database/baz016
Publication status	Published - Feb 2019

Scopus Subject Areas

Information Systems
General Biochemistry,Genetics and Molecular Biology
General Agricultural and Biological Sciences

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10.1093/database/baz016

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title = "Increased interactivity and improvements to the GigaScience database, GigaDB",

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.",

author = "Xiao, {Si Zhe} and Chris Armit and Scott Edmunds and Laurie Goodman and Peter Li and Tuli, {Mary Ann} and Hunter, {Christopher Ian}",

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T1 - Increased interactivity and improvements to the GigaScience database, GigaDB

AU - Xiao, Si Zhe

AU - Armit, Chris

AU - Edmunds, Scott

AU - Goodman, Laurie

AU - Li, Peter

AU - Tuli, Mary Ann

AU - Hunter, Christopher Ian

PY - 2019/2

Y1 - 2019/2

N2 - 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.

AB - 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.

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DO - 10.1093/database/baz016

M3 - Journal article

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SN - 1758-0463

VL - 2019

JO - Database

JF - Database

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ER -

Increased interactivity and improvements to the GigaScience database, GigaDB

Abstract

Scopus Subject Areas

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