Moynihan Institute of Global Affairs
Center for Qualitative and Multi-Method Inquiry – Qualitative Data Repository presents
Effective Data Management in Online Research
The COVID-19 pandemic has dramatically changed the way social scientists can do research, moving much of it online. This short workshop will introduce practical advice for data management of social science projects such as organization, documentation and metadata, data security, and participant confidentiality with a particular focus on the implications of doing research online. Good data management helps ensure the success of research projects and facilitates meeting increasing expectations about transparency for researchers.
The workshop will cover best practices for data management and writing data management plans that are now commonly required for external grant applications. Looking at online research, we will discuss strategies for recording and transcribing online interviews, effectively working with and saving web pages, and identifying collections of primary materials online.
All members of the SU community are welcome, although the event is geared toward students and faculty currently preparing grant applications (internal or external) for projects that include empirical data collection.
QDR and Assistant Research Professor
Political Science, Syracuse University
Sebastian Karcher is the Associate Director of the Qualitative Data Repository and Research Assistant Professor of Political Science at Syracuse University. His main interests are in research transparency, management and curation of qualitative data, and the integration of technology into scholarly workflows. He is an active contributor to several scholarly open source projects, including Zotero and the Citation Style Language, and has taught widely on digital technology and data management. Sebastian holds a PhD in political science from Northwestern University and has published in both social science journals such as International Studies Quarterly and Socio-Economic Review and information science journals such as Nature Scientific Data and Data Science Journal.
This event was first published on February 9, 2021 and last updated on February 10, 2021.