October 26, 2020 – October 27, 2020
This introductory course will offer you the keys to develop the essential knowledge, resources and skills to optimize the management of your research data and increase your chances of complying with funding agencies’ new requirements.
|TRAINERS||Aude Dieudé (Swissuniversities), Francesco Varrato (EPFL Library)|
|DATES & TIME||Monday, October 26, 2020 & Tuesday, October 27, 2020, 9:00 AM to 4:00 PM|
|AIMS||Knowing how to manage and organize research data is becoming one of the sine qua non conditions to guarantee the quality, durability and reproducibility of your research. Moreover, many funding agencies such as the Swiss National Science Foundation (SNSF) and the European Commission (for Horizon 2020 and ERC grant applications) are now requiring that a data management plan be in place in order to receive research funding. This introductory course will offer you the keys to develop the essential knowledge, resources and skills to optimize the management of your research data and increase your chances of complying with funding agencies’ new requirements.
The objectives of our workshop are the following:
• To acquire the fundamentals regarding research data management and discover the resources at your disposal to better manage your data,
• To be familiar with the best practices regarding research data management throughout its life-cycle,
• To grasp the benefits of these practices and better learn how to answer the new requirements from funding agencies,
• To appropriate and put into practice the tools at your disposal to optimize your research data management daily and over time,
• To know the best resources to optimize the preparation of your research data management,
• To share your experience regarding research data management with your colleagues.
|COURSE OUTLINE||Workshop overview:
1. What is Research Data Management (RDM) and why is it relevant for you?
2. What is a Data Management Plan (DMP) and why does it apply to you?
3. Concretely, how do you create and write a DMP?
4. What are the RDM best practices and how can they help you?
5. Which tools would be best to strengthen your RDM? In general and in your discipline?
6. Which resources are available to guide you?
7. Why does it actually matter in the end?
Methods & Tools
The workshop is split into a general introduction to data management, data management plans and helpful tools on the first day, a close look at discipline specific aspects of research data management in humanities / social sciences and natural sciences on the second day.
The participants will fill out a questionnaire before the workshop with specific questions and the trainers will adjust the workshop based the respective knowledge and experience regarding research data management. Focusing on their personalized needs and questions, the trainers will provide input on the topic before guiding the participants into preparing and creating a data management plan based on their field of expertise.
|TARGET AUDIENCE||Spots are available to researchers of all stages from member institutions of Academia Raetica.|
|CONTACT||Course Coordinator: Daniela Heinen, , phone 081 410 60 80|
|CREDIT POINTS||This training requires 12 hours of physical attendance taking place during the two day workshop. Please check with your supervisor at your university, if the course counts towards ECTS.|
|COURSE CERTIFICATE||You will receive a certificate of attendance, if you attend the entire course.|
|REGISTRATION||Sign up here. Deadline for registration ends September 13, 2020. You will receive a confirmation of your registration within a few days after your registration.|
|CANCELLATION POLICY||We expect you to be present for the full duration of the course. Please see our Terms of Participation for details. (Terms in German)|
|COST||The course fee is CHF 150 for the entire course. The amount is payable ten days prior to the course. You will receive an invoice and our bank details in due time.|
About the Trainers
Dr. Aude Dieudé is the Portfolio Manager of the national scientific information program at swissuniversities and has specialized in Research Data Management (RDM) since 2014. At the Ecole Polytechnique Fédérale de Lausanne (EPFL) she managed at the institutional level in close collaboration with the team the personalized support service to guide researchers in the preparation of their Data Management Plan (DMP). At the national level, she led the first track of the Swiss national project dedicated to Data Life Cycle Management (DLCM), which aims at offering RDM tailored tools, training and services. Thanks to a constructive and fruitful collaboration across Swiss institutions and organizations, this team provided sustainable resources and tangible solutions regarding DMP, guidelines and policies for Switzerland. Aude has been offering presentation, training and workshop in the Netherlands, Germany, France and Switzerland to optimize research data management. Bilingual in French and English, she received her PhD from Duke University.
Francesco Varrato, PhD, is a Data Librarian at the EPFL Library with postdoc experience in Computational Physics. He has also gained professional experience as a high-school teacher and as a business developer for tech start-ups. He has been providing support to researchers and students of the EPFL as advisor and trainer in the context of Research Data Management and as a member of the EPFL Research Data Library Team since 2018.
03-20 Optimize your research data (Course details PDF)