The Ark: A customizable web-based data management tool for health and medical research

Adrian Bickerstaffe; Thilina Ranaweera; Travis Endersby; Christopher Ellis; Sanjaya Maddumarachchi; George E. Gooden; Paul White; Eric K. Moses; Alex W. Hewitt; John L. Hopper

doi:10.1093/bioinformatics/btw675

The Ark: A customizable web-based data management tool for health and medical research

Adrian Bickerstaffe, Thilina Ranaweera, Travis Endersby, Christopher Ellis, Sanjaya Maddumarachchi, George E. Gooden, Paul White, Eric K. Moses, Alex W. Hewitt, John L. Hopper

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The Ark is an open-source web-based tool that allows researchers to manage health and medical research data for humans and animals without specialized database skills or programming expertise. The system provides data management for core research information including demographic, phenotype, biospecimen and pedigree data, in addition to supporting typical investigator requirements such as tracking participant consent and correspondence, whilst also being able to generate custom data exports and reports. The Ark is 'study generic' by design and highly configurable via its web interface, allowing researchers to tailor the system to the specific data management requirements of their study.

Original language	English (US)
Pages (from-to)	624-626
Number of pages	3
Journal	Bioinformatics
Volume	33
Issue number	4
DOIs	https://doi.org/10.1093/bioinformatics/btw675
State	Published - Feb 15 2017

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btw675

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The Ark : A customizable web-based data management tool for health and medical research. / Bickerstaffe, Adrian; Ranaweera, Thilina; Endersby, Travis; Ellis, Christopher; Maddumarachchi, Sanjaya; Gooden, George E.; White, Paul; Moses, Eric K.; Hewitt, Alex W.; Hopper, John L.

In: Bioinformatics, Vol. 33, No. 4, 15.02.2017, p. 624-626.

Research output: Contribution to journal › Article › peer-review

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note = "Funding Information: This work was supported by the Australian Twin Registry, a national resource in part supported by a Centre of Research Excellence Grant [1079102 to J.L.H.] from the National Health and Medical Research Council. The project was also supported by the eResearch Tools Program from National eResearch Collaboration Tools and Resources (NeCTAR), and the Cancer Council of Western Australia{\textquoteright}s Capacity Building and Collaboration Grant.",

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