Workshop series on research data management in Area Studies: Sensitive Qualitative Research Data and the CARE principles
Exposé
Conducting research for PhD projects in Area Studies will most certainly lead to the collection of data in various forms - from digitised sources to empirical data or social media threads. Therefore, data management is increasingly becoming a key component of the research process. While funders are already requesting data management plans (DMPs) which ask about the findability, accessibility, interoperability and reusability of research data (FAIR data), the discussion in scholarly communities like the Area Studies on what good academic practices encompass in regard to data management in dissertations and research projects has just begun.
This second workshop in our series on RDM in Area Studies aims at connecting to the growing debate on the management of sensitive qualitative data with a special focus on the CARE-principles, which draw attention on the aspects of collective benefit, authority to control, responsibility and ethics in RDM (https://www.gida-global.org/care ). By discussing research papers on the topic and jointly exploring the challenges of working with personal or other sensitive data during fieldwork / in PhD projects the workshop wants to offer a space for the exchange of experiences that the participants have gathered themselves. Furthermore, tools and information hubs which support the management of sensitive qualitative research data will be addressed.
Reading recommendations in preparation for the workshop:
Carroll, S.R., Herczog, E., Hudson, M. et al. Operationalizing the CARE and FAIR Principles for Indigenous data futures. Sci Data 8, 108 (2021). https://doi.org/10.1038/s41597-021-00892-0
Huber, Elisabeth ; Imeri, Sabine (2021): Informed consent in ethnographic research: A common practice facing new challenges (under review). Pre-print als Qualiservice Working Paper: https://doi.org/10.26092/elib/1070
Please register by November 29th through the registration form.