851-0000-01L Research Data Management Summer School
|Semester||Spring Semester 2020|
|Lecturers||M. M. Ziehmer|
|Language of instruction||English|
|Comment||Number of participants limited to 40|
Only for PhD Students and Postdocs of the ETH Domain
|851-0000-01 S||Research Data Management Summer School|
Permission from lecturers required for all students.
Block seminar: 15. – 19. June 2020 from 08.30 – 17.00 at ETH Alumni Pavillon.
Plus preparatory reading of recommended literature and individual preparation of a poster before the beginning of the course.
|M. M. Ziehmer|
|Abstract||Research Data Management (RDM) is vital for researchers to ensure the proper organisation of research data along the entire life cycle from creation to preservation including their sharing as Open Data (FAIR Data). This ETH Summer School provides an extensive overview on RDM, its principles, its practical implications and on useful tools for early career scientists (PhD students and Postdocs).|
|Objective||Students are able to|
1. explain in detail the basic concepts and components of research data management along the research data life cycle in a national and international context. They understand both their responsibility as individual scientists and their potential future role as early career heads of research groups.
1.1 follow the principles of good scientific practice with respect to data management in general and the content of the ETH Guideline for Research Integrity and the Compliance Guide, in particular.
1.2 define and apply the FAIR Data Principles.
1.3 critically evaluate and improve their own RDM within their current and in future research projects.
1.4 introduce future students and staff to RDM and motivate them to consider it as an integral part of their research.
2. fulfill current requirements regarding Research Data Management (RDM) and Data Management Plans (DMPs) by research funders (i.e. Open Research Data Policy by the SNSF, Rules on Open Access to Research Data in Horizon 2020) in their own research.
3. understand the basics of a DMP and are able to write a research-funder compliant DMP.
4. survey the challenges of Active Research Data Management (ARDM) and are able to properly annotate (metadata), store and back-up research data with appropriate tools for future reuse.
5. critically evaluate and use tools for data sharing and other repositories, including RDM services at ETH Zurich (e.g. ETH Research Data Hub, ETH Research Collection) and international repositories.
5.1 identify appropriate Creative Commons Licenses for their needs.
5.2 assess challenges and benefits of Open Access to publications and make informed decisions on where to publish.
6. understand the challenges of long-term preservation and are able to prepare data for it.
|Performance assessment information (valid until the course unit is held again)|
|Performance assessment as a semester course|
|ECTS credits||2 credits|
|Examiners||M. M. Ziehmer|
|Type||ungraded semester performance|
|Language of examination||English|
|Repetition||Repetition possible without re-enrolling for the course unit.|
|Additional information on mode of examination||Participants must apply for the summer school and must complete the program in full, including pre-course work, full presence during lectures and workshops, writing a data management plan, and present their prepared poster to receive the credit points.|
|No public learning materials available.|
|Only public learning materials are listed.|
|No information on groups available.|
|General||Permission from lecturers required for all students|
|Places||40 at the most|
|Waiting list||until 01.06.2020|
|Doctoral Department of Humanities, Social and Political Sciences||Doctoral and Post-Doctoral Courses||W|
|Humanities, Social and Political Sciences (General Courses)||Further Courses (no SiP-courses)||Z|