If your PhD project involves working and even more collecting data, data management is key for success. This course offers a review of most pressing issues when dealing with data. Organization is key for efficient work. But data management goes way beyond. A number of demands are going to guide your use of data. Journals and funders request more and more often to make data accessible and data processing available for review. Regulations organize what kind of regulation applies to research data, how it can be collected, stored and shared. But data is now an asset in its own right. It is a way to become cited and recognized. It is a way to achieve important research results.
This course covers the critical areas related to research data management: licensing and intellectual property, metadata and contextual description, obtaining informed consent for participation in research, anonymising research data for reuse, data storage, and data archiving. It introduces key contemporary concepts such as open science and FAIR principles. It also guides participants in the discovery of available tools for better data management.
This course is not a course about the methods of data collection or analysis.
This course is proposed by Sciences Po’s library and the CDSP (Center for Social-Political Data).