Research Data Management Summer School

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, incl. 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 (Doctoral 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 Research Data Management (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. fulfil current requirements regarding 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 Europe) in their own research. 3. understand the basics of a DMP and are able to develop DMPs compliant with requirements of a research funder. 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 derive informed decisions on where to publish. 6. understand the challenges of long-term preservation and derive measures to prepare data accordingly.

Resources