Introduction to Data Curation
- DON’T promise to destroy your data
- DON’T promise not to share data
- DON’T promise that research analyses of the collected data will be limited to certain topics
- DO get consent to retain and share data
- DO incorporate data-retention and -sharing clauses into IRB templates
- DO be thoughtful when considering risks of re-identification
- DO consider working with a data repository
- DO be thoughtful when selecting a data repository
Activity:
Construct a data ethics planTake some time to complete some of the Data Ethics Canvas worksheet (link to worksheet) by the Open Data Institute (ODI). If you don’t actively have a data project right now, respond to the worksheet in regards to the type of data and research you’re interested in. The activity should get you to constructively think about what you may have to plan for to accommodate responsible sharing and reuse of research data. Look over the circles, especially the green circles in the bottom row.
Questions to consider afterwards, based on your experience of this worksheet:
- What was this experience like completing the circles in this worksheet?
- If you’re with others, discuss how your answers may be different or similar between your disciplines, depending on what sorts of data you use in your field.
- Did you find any of these circles particularly relevant for the type of data you might encounter in your subject area?
Source:
- Meyer, M.N. (2018). Practical tips for ethical data sharing. Advances in Methods and Practices in Psychological Science, 1(1), 131-144. https://doi.org/10.1177/2515245917747656
- Tarrant, D., Maddison, J., & Thereaux, O. (2021, June 28). Data Ethics Canvas [Worksheet]. Open Data Institute. https://theodi.org/article/the-data-ethics-canvas-2021