Literature DB >> 28003258

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

Adrian Bickerstaffe1, Thilina Ranaweera1, Travis Endersby2,3, Christopher Ellis2,3, Sanjaya Maddumarachchi1, George E Gooden4, Paul White2,3, Eric K Moses2,3, Alex W Hewitt5, John L Hopper1.   

Abstract

Summary: 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. Availability and Implementation: Source code for The Ark can be obtained freely from the website https://github.com/The-Ark-Informatics/ark/ . The source code can be modified and redistributed under the terms of the GNU GPL v3 license. Documentation and a pre-configured virtual appliance can be found at the website http://sphinx.org.au/the-ark/ . Contact: adrianb@unimelb.edu.au. Supplementary information: Supplementary data are available at Bioinformatics online.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

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Year:  2017        PMID: 28003258     DOI: 10.1093/bioinformatics/btw675

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  2 in total

Review 1.  OPENMENDEL: a cooperative programming project for statistical genetics.

Authors:  Hua Zhou; Janet S Sinsheimer; Douglas M Bates; Benjamin B Chu; Christopher A German; Sarah S Ji; Kevin L Keys; Juhyun Kim; Seyoon Ko; Gordon D Mosher; Jeanette C Papp; Eric M Sobel; Jing Zhai; Jin J Zhou; Kenneth Lange
Journal:  Hum Genet       Date:  2019-03-26       Impact factor: 4.132

2.  Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination.

Authors:  Dany Doiron; Yannick Marcon; Isabel Fortier; Paul Burton; Vincent Ferretti
Journal:  Int J Epidemiol       Date:  2017-10-01       Impact factor: 7.196

  2 in total

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