Lecture 2.2.: Responsible Preparation & Management of Quantitative Datasets & Metadata (Olivier Le Gall)
Lecture 2.2.: Responsible Preparation & Management of Quantitative Datasets & Metadata (Olivier Le Gall)
In this lecture, Olivier Le Gall discusses the responsible preparation of open datasets. The lecture covers several key topics: initially, he examines what responsible data preparation entails and its significance. Subsequently, he addresses the issue of dual use, and finally, he explores the risks posed to third parties.
Watch the lecture and then answer the questions.
Further reading:
ROSiE General Guidelines on Responsible Open Science. https://doi.org/10.5281/zenodo.10046520
Open Research Europe, “Open Data, Software and Code Guidelines” https://open-research-europe.ec.europa.eu/for-authors/data-guidelines/
Klein, O., Hardwicke, T. E., Aust, F., Breuer, J., Danielsson, H., Mohr, A. H., IJzerman, H., Nilsonne, G., Vanpaemel, W., & Frank, M. C. (2018). A Practical Guide for Transparency in Psychological Science. Collabra: Psychology, 4(1), 20. https://doi.org/10.1525/collabra.158
Berkowitz, H., & Delacour, H. (2022). Opening Research Data: What Does It Mean for Social Sciences?. M@n@gement, 25(4), 1-15. https://doi.org/10.37725/mgmt.v25.9123
Pernet, C., Svarer, C., Blair, R., Van Horn, J. D., & Poldrack, R. A. (2023). On the long-term archiving of research data. Neuroinformatics, 21(2), 243-246. https://doi.org/10.1007/s12021-023-09621-x
Gomes, D. G., Pottier, P., Crystal-Ornelas, R., Hudgins, E. J., Foroughirad, V., Sánchez-Reyes, L. L., ... & Gaynor, K. M. (2022). Why don't we share data and code? Perceived barriers and benefits to public archiving practices. Proceedings of the Royal Society B, 289(1987), 20221113. https://doi.org/10.1098/rspb.2022.1113
Note: These video lectures can be used independently or in conjunction with the ROSiE Responsible Open Science training materials. For more information, please visit the ENERI Classroom: https://classroom.eneri.eu/videolectures