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ID: 250 / CEC afternoon 05: 1 CEC session Topics: Benchmarking + Advocacy Keywords: Open Science, Data Management Plan, Research Data Management, Funding Agencies, FAIR principle
Data Management Plan in Life Science
CHUV library, Switzerland
There has been a lot of talk around Data Management recently. The extensive problems with research reproducibility and data loss has urged scientists to consider developing efficient Data Management Plans (DMP) for their research projects, a need that is also reflected in the requirements of funding agencies, amongst which the Swiss National Fund (SNF) and Horizon 2020.
During the first part of the workshop, participants will be introduced 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. Using a sample dataset, participants will be taught best practices in data management and how to collect, describe, store, secure and archive research data. We will present how making published works and their accompanying datasets freely accessible through Open Access can benefit both researchers and the scientific community. Participants will be confronted with data deposit, metadata standards for datasets, file formats for long-term datasets storage and re-use, data copyright, licenses and self-archiving rules.
The second part of the workshop will be dedicated to a practical hands-on approach. Participants will learn how to fill a DMP corresponding to a research project using the online VitalIT DMP Canvas Generator tool.
This workshop will provide participants with effective support to produce high quality DMP complying with the guidelines established by funding agencies.
Learning outcomes : Using a sample dataset, participants should be able to produce a DMP (data management plan), making it possible to: fulfil the requirements of the main funding agencies; manage in detail research data; specify the type of data that is going to be created and shared; indicate the process to be followed in respect of the budget, intellectual property, and monitoring; share data on appropriate FAIR platform
Level : Intermediate/Advanced
Target audience : Data Librarian, Information specialists, researchers
Preparation for the session : No
Biography and Bibliography C. Lebrand obtained a PhD in developmental neuroscience at the Hospital of Salpêtrière in Paris (1999). From 2004 to 2011, she was appointed at the University of Lausanne (UNIL), as a junior group leader to develop an project on axonal guidance of cortical inter-hemispheric connections. Since 2015, she have been working at the library of the Faculty of Biology and Medicine for UNIL&CHUV (Switzerland) as a Scientific Project Manager to develop a new Research Management Unit offering numerous services and trainings in Open Science to support researchers at multiple steps of the research workflow.