This course is oversubscribed, from now on, any new application will be put onto the waiting list. Applicants will only be contacted if a place becomes available.
Recent studies have shown that worldwide, between 51% and 89% of published life sciences research is not reproducible, with consequent losses estimated at around $100 billions/year in biomedical research (Chalmers et al., 2009; Freedman et al., 2015; Begley and Ioannidis, 2015). In particular, these studies have made clear that the research data associated with a publication are fundamental to validate the published analyses and results. Many causes contribute to this lack of reproducibility in life science studies such as a lack of rigor in data management and analysis. This extensive problem related to improper research management has urged scientists to consider developing efficient Research Data Management Strategies and implementing robust Data Management Plans (DMP) for their research projects. This need is also reflected in the requirements of funding agencies, amongst which the Swiss National Science Foundation (SNFS) and Horizon 2020.
This course, given by researchers and professionals involved in Big Data management at SIB/Vital-IT as well as in Data Management Plan preparation at UNIL/CHUV, will provide you with effective support to produce high quality DMP complying with the guidelines established by funding agencies. Importantly, it will provide you with tools to generate robust data and excellent quality studies that follow the FAIR principles to make your data Findable, Accessible, Interoperable and Reusable.
Sources of information
First day- 09:00-17:00 CET
At first, participants will be introduced to the notion of research reproducibility and to the need for a Data Management Plan (DMP) preparation, an evolving document reporting how the research data will be managed during and after a research project. You will learn best practices in Research Data Management (RDM) and especially two first steps concerning data collection and data documentation. During the exercises, you will directly apply what you have learned.
During the afternoon, you will learn additional steps of the RDM cycle concerning Ethics, Legal, Security issues, Data Preservation and Data Sharing, as well as an overview of the FAIR principles. The remaining part of the course will be dedicated to demos and exercises on Data management, where you will learn how to share your published data on adapted repositories, such as Zenodo, and how to fill a DMP corresponding to your own research using the “SIB/Vital-IT DMP Canvas Generator tool”.
Second day- 09:00-12:30 CET
On this half day, you will continue to complete your DPMs and refine the information under the guidance of the teachers. Those who would like will be able to present their draft DMPs in order to concretize their work and generate productive discussions in the group.
The course is addressed to postgraduate students and researchers who plan to apply for SNFS funds and want to be trained on how to efficiently complete the Data Management Plan form. At the same time, this course aims at educating the participants on Data Management principles in general.
At the end of the course you will be able to:
To be involved in Life Sciences research.
You will need a laptop with a web browser installed.
Cécile Lebrand - Open Science advocate and information specialist, Bibliothèque Universitaire de Médecine, CHUV
Vassilios Ioannidis - SIB/Vital-IT Competence Center, SIB Swiss Institute of Bioinformatics
Grégoire Rossier - SIB/Vital-IT Competence Center & SIB Training, SIB Swiss Institute of Bioinformatics
This course is oversubscribed, therefore applications are closed. Applicants in the waiting list will only be contacted if a place becomes available.
This course is free of charges. It is partially sponsored by ELIXIR-CONVERGE. While participants are registered on a first come, first served basis, exceptions may be made to ensure diversity and equity, which may increase the time before your registration is confirmed.
Deadline for cancellation is set to 12/01/2023.
You will be informed by email of your registration confirmation.
This course will ONLY be held in person at the University of Lausanne (Metro M1 line, Sorge station). No online streaming will be offered.
It will start at 9:00 and end around 12:30 on the second day.
Precise information will be provided to the participants before the course.
Coordination: Diana Marek, SIB Training Group
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SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.
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|ELIXIR-CONVERGE is funded by the European Commission within the Research Infrastructures programme of Horizon 2020|