FAIR Data Management in Life Sciences
Host institution: University of Manchester, Heidelberg Institute for Theoretical Studies
Start: Saturday, 27 October 2018 @ 09:00
End: Saturday, 27 October 2018 @ 18:00
Venue: ENS Lyon - Site Monod, 46, Allée d'Italie
Scientific topic: Systems biology, Data management, Systems medicine, BioinformaticsTarget audience:
- Life Science Researchers
- data managers
- data librarians
- PhD students, postDoc and PIs in Life Sciences, Biomedicine and Bioinformatics with little or no knowledge of network biology tools, who are interested in learning how to apply such tools in their research.
- life science industry
Are you curious about data management, or how research groups handle their data management pipelines? Do you want to engage with other like-minded researchers in best practice for your data management? Are you overwhelmed by new regulations from funders requiring data management plans? Or are you a developer in the data management sphere? Then come and join our workshop/user meeting on “FAIR Data Management in Life Sciences” as a satellite meeting of the ICSB 2018 in Lyon France. It will be held Saturday 27th October before the main meeting. Registration is free, and is first come first served. Research projects with advanced data management pipelines will be presenting their best practice. Thought leaders in data management will be there to help you with any questions you have. Importantly, YOU get to decide on break out topics or steer discussion during the day.
This workshop will be hosted by the FAIRDOM infrastructure (https://fair-dom.org), and bring together FAIRDOM users, FAIR platform developers, and researchers from across the world to discuss: (i) best practices in data management; (ii) cutting edge platform development, and; (iii) community use and requirements of FAIR data platforms. Our key theme this year will be integrating the data pipeline for cross platform data exchange. Throughout the day there will be: (i) presentations by research groups who are pioneering data management in systems, synthetic, and agricultural life-sciences; (ii) networking events so attendees can get to know FAIR platform developers and expert data managers; (iii) training in FAIR data management platforms, including FAIRDOM platforms, and COMBINE standards; (iv) discussions about the future of FAIR and data management within life-sciences.
- Workshops and courses
- First come first served
Keywords: data management, training, expertise exchange, life sciences, life sciences, bioinformatics, Systems biology, Synthetic biology, systems medicine, metadata