The Challenge
We want the data we collect to be used to make scientific advances. Ideally, we want to make and publish these discoveries ourselves. But eventually, there are many reasons to hope others will be able to use the data as well, in order to aggregate into larger datasets, as foundations for new studies, and/or for new scientific purposes that never even occurred to us. This year, NIH and the White House have both mandated that all scientific data be shared openly at the time of publication. Yet many labs’ current practices don’t always support easy and responsible data sharing.
Readings
- Frank, M. (2022). Chapter 13 “Project Management.” In Experimentology.
- Henry, T. (2021). “Data Management for Researchers: Three Tales” and “Eight Principles of Good Data Management.”
- Final NIH Policy for Data Management and Sharing.
Additional/optional useful references:
- Ehlers, M., & Lonsdorf, T. (2022). “Data sharing in experimental fear and anxiety research: From challenges to a dynamically growing database in 10 simple steps.” Preprint.
- Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., et al. (2016). “The FAIR Guiding Principles for Scientific Data Management and Stewardship.” Scientific data, 3(1): 1–9. DOI: doi.org/10.1038/sdata.2016.18.
- Downs, R. R. (2021). “Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories."Data Science Journal, 20(1).
- Soderberg, C. K. (2018). “Using OSF to share data: A step-by-step guide.” Advances in Methods and Practices in Psychological Science, 1(1), 115-120.
- Ferguson, A. R., Nielson, J. L., Cragin, M. H., Bandrowski, A. E., & Martone, M. E. (2014). “Big data from small data: Data-sharing in the ’long tail’ of neuroscience.” Nature Neuroscience, 17(11), 1442-1447.
- Markiewicz, C. J., Gorgolewski, K. J., Feingold, F., et al. (2021). “The OpenNeuro resource for sharing of neuroscience data. ELife, 10, e71774.
In your response paper describe, for example, specific examples of when and why data reuse is important for your science, something you learned from the readings you didn’t already know, and/or a personal experience you’ve had that really brought home the challenge of data sharing and management.
