We’re excited to announce that we will once again hold a workshop and user meeting as part of the ICSB Satellite Meetings (http://www.icsb2018-france.com/). This year’s theme ‘FAIR Data Management in Life-Sciences’. We’re busy planning the agenda, and organising our speakers. If you want to be kept up to date with the workshop plans please register your interest here: https://goo.gl/forms/Z90MhAWm5GRX4Stg2
The details so far are as follows:
Saturday, October 27th, 2018 (9.00am – 18.00)
Open science and FAIR data principles have gained worldwide traction in recent years. FAIR is an acronym for Findable, Accessible, Interoperable and Reusable1; characteristics that contemporary data resources, tools, vocabularies and infrastructures should exhibit to assist discovery and reuse. The FAIR data management principles have been endorsed by the European commission, EU life science organization ELIXIR, USA based institutes such as Big Data to Knowledge, the National Institutes of Health and by the G72. As such, these principles have become an integral part of all new European projects in the life sciences. As a result, there is an increasing demand for scientists to work with software infrastructures facilitating FAIR data management.
One of the most well-known of these infrastructures is FAIRDOM, a consultancy service and tool provider, facilitating interdisciplinary Life-Science researchers in sharing their research3. To this end, FAIRDOM provides a number of tools, such as RightField for storing metadata in excel sheets, openBIS for automated data acquisitions and analysis, and SEEK for data cataloguing and project management 4 5 6.
This workshop will be hosted by the FAIRDOM infrastructure, 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.
- Wilkinson, M. D. Comment : The FAIR Guiding Principles for scienti fi c data management and stewardship. Sci. Data 3, 1–9 (2016).
- Mons, B. et al. Cloudy, increasingly FAIR; Revisiting the FAIR Data guiding principles for the European Open Science Cloud. Inf. Serv. Use 37, 49–56 (2017).
- Wolstencroft, K. et al. FAIRDOMHub : a repository and collaboration environment for sharing systems biology research. Nucleic Acids Res. 45, 404–407 (2017).
- Wolstencroft, K. et al. RightField : embedding ontology annotation in spreadsheets. Bioinformatics 27, 2021–2022 (2017).
- Bauch, A. et al. openBIS: a flexible framework for managing and analyzing complex data in biology research. BMC Bioinformatics 12, 468 (2011).
- Wolstencroft, K. et al. SEEK : a systems biology data and model management platform. BMC Syst. Biol. 1–12 (2015). doi:10.1186/s12918-015-0174-y
- Mcmurry, J. A. et al. Identifiers for the 21st century : How to design , provision , and reuse persistent identifiers to maximize utility and impact of life science data. PLoS One 1–18 (2017).
Joint sessions with a parallel FAIR Data Management in Life-Sciences:
It is planned to have joint demo and hands-on sessions in the afternoon with a COMBINE/DeNBI workshop (Modelling and Simulation Tools in Systems Biology), that also would be organized as ICSB satellite, running in parallel at the same venue.