Managing your data in the field
Maintaining well-organised data is essential for researchers to keep accurate records of fieldwork data and make informed decisions. The techniques and strategies for securely managing data may differ depending on the field sites, types and amount of data, and the system or database used for data collection and analysis. Some may find online data storage to be the best option, while it may not be ideal for those working in remote areas.
In this workshop, post-fieldworkers will be sharing their experience and knowledge on managing data in the field. The discussion will cover various topics, such as effective methods and strategic planning for storing, organising, and updating data on both online and offline platforms, as well as some potential challenges and drawbacks that may arise. We will also delve into practical tools and techniques for backing up data and enhancing security measures to safeguard the confidentiality of the data during and after data collection in the field.
Refreshments will be provided.
Chair
Keiko Kanno
Panellists
Dr Marilou Polymeropoulou (Research Affiliate, School of Anthropology and Museum Ethnography)
Abril Ríos-Rivera (DPhil, Migration Studies/Migration Oxford Co-Convenor)
Yaoyao Ruan (DPhil, Education)
Date:
5 November 2024, 14:00 (Tuesday, 4th week, Michaelmas 2024)
Venue:
6 Worcester Street, 6 Worcester Street OX1 2BX
Venue Details:
Social Sciences Division
Speakers:
Yaoyao Ruan (University of Oxford),
Abril Ríos-Rivera (Centre on Migration, Policy and Society (COMPAS)),
Dr Marilou Polymeropoulou (School of Anthropology and Museum Ethnography),
Keiko Kanno (University of Oxford)
Organising department:
Social Sciences Division
Organiser:
Keiko Kanno (University of Oxford)
Organiser contact email address:
researcherdevelopment@socsci.ox.ac.uk
Host:
Keiko Kanno (University of Oxford)
Part of:
Social Sciences Division Research Training - Michaelmas Term 2024
Booking required?:
Required
Booking url:
https://www.socsci.ox.ac.uk/event/fieldwork-perspectives-data-management
Audience:
Members of the University only
Editor:
Keiko Kanno
