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The 2017 Galaxy Community Conference (GCC2017) is being held in Montpellier, France, 26-30 June.  GCC2017 will include keynotes and accepted talks, poster sessions, demos, birds-of-a-feather meetups, exhibitors, and plenty of networking opportunities. There will also be three days of pre-conference activities, including hackathons and training. If you work in data-intensive biomedical research, there is no better place than GCC2017 to present your work and to learn from others.
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Thursday, June 29 • 15:40 - 17:00
P07: myFAIR Analysis: Personal FAIR Data Management and Analysis

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Saskia Hiltemann 1, Rick Jansen 1, David Van Zessen 1, John Hays 2, Andrew Stubbs 1*

1 : Bioinformatics Dept., Erasmus University Medical Center  (Erasmus MC)
2 : MMIZ, Erasmus University Medical Center  (Erasmus MC)
* : Corresponding author

In recent publications, it has been proposed that approximately 50% of pre-clinical research data is not reproducible. Whilst we cannot address all the challenges associated with these findings we can work towards creating an ecosytem at Erasmus MC in which we enable researchers to comply with FAIR data (Findable, Accessible, Interoperable, Re-usable) principles. The correct ‘long-term care' of valuable digital assets means that data can be efficiently re-used for subsequent investigations, either alone, or in combination with newly generated data to create new knowledge. To address the challenges associate with un-FAIR data the European Union has initiated a plan for Open research data in H2020 which is a requirement for all grantees, whereby all research data complies with the FAIR data principles. Our aim was to implement a secure and an easy to use translational research application for clinical research scientists that uses existing informatics technology and services with FAIR data principles built into the design. We implement a generic “end to end” FAIR data point and analysis architecture, myFAIR Analysis, that is applicable for any type of translational or clinical research project. myFAIR was developed using FAIR Data compliant applications including B2DROP (EUDAT), an ownCloud, that provides end users with Dropbox like storage and sharing services which comply with FAIR data principles. myFAIR uses Galaxy to deliver reusable and “provenant” predefined workflows. myFAIR Analysis enables scientists to apply FAIR data principles to both their data and analysis within one single web application that will be freely available from https://github.com/ErasmusMC-Bioinformatics/myFAIR.

avatar for Saskia Hiltemann

Saskia Hiltemann

Erasmus MC

Thursday June 29, 2017 15:40 - 17:00
Le Corum Le Corum

Attendees (4)