Welcome to #DeepDive #GeoPodcast S1!
Organized and prepared by #ALQUBALEE Notes via #Google #Notebooklm.
Join us as we explore the fascinating world of geoscientific research papers! Each episode, we delve into a different study, breaking down complex topics into easy-to-understand insights for everyone. Whether you are a student, a professional, or simply curious about the latest research, this podcast aims to make academic findings accessible and engaging.
Sources:
1. Barba, L. A. (2018, January). Terminologies for reproducible research. The George Washington University.
2. Coca-Castro, A., Fouilloux, A., Barros Lourenço, R., McDonald, A., Rao, Y., & Hosking, J. S. (2025). Improving reproducibility in geoscientific papers: Lessons learned from a hackathon in climate science. Environmental Data Science, 4, e6.
3. Crystal-Ornelas, R., Varadharajan, C., O’Ryan, D., Beilsmith, K., Bond-Lamberty, B., Boye, K., Burrus, M., Cholia, S., Christianson, D. S., Crow, M., Damerow, J., Ely, K. S., Goldman, A. E., Heinz, S. L., Hendrix, V. C., Kakalia, Z., Mathes, K., O’Brien, F., Pennington, S. C., Robles, E., Rogers, A., Simmonds, M., Velliquette, T., Weisenhorn, P., Welch, J. N., Whitenack, K., & Agarwal, D. A. (2022). Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats. Scientific Data. https://doi.org/10.1038/s41597-022-01...
4. Gil, Y., David, C. H., Demir, I., Essawy, B. T., Fulweiler, R. W., Goodall, J. L., Karlstrom, L., Lee, H., Mills, H. J., Oh, J., Pierce, S. A., Pope, A., Tzeng, M. W., Villamizar, S. R., & Yu, X. (2016). Toward the geoscience paper of the future: Best practices for documenting and sharing research from data to software to provenance. Earth and Space Science, 3(10), 388–415. https://doi.org/10.1002/2015EA000136
5. Hardwicke, T. E., Mathur, M. B., MacDonald, K., Nilsonne, G., Banks, G. C., Kidwell, M. C., Mohr, A. H., Clayton, E., Yoon, E. J., Tessler, M. H., Lenne, R. L., Altman, S., Long, B., & Frank, M. C. (2018). Data availability, reusability, and analytic reproducibility: Evaluating the impact of a mandatory open data policy at the journal Cognition. R. Soc. Open Sci., 5(180448). http://dx.doi.org/10.1098/rsos.180448
6. Hu, T., Liu, T., Jarugumalli, V. S. D., Cheng, S., & Deng, C. (2025). FAIR principles in workflows: A GIScience workflow management system for reproducible and replicable studies. International Journal of Applied Earth Observation and Geoinformation, 138, 104477. https://doi.org/10.1016/j.jag.2025.10...
7. Konkol, M., & Kray, C. (2019). In-depth examination of spatiotemporal figures in open reproducible research. Cartography and Geographic Information Science, 46(5), 412–427. https://doi.org/10.1080/15230406.2018...
8. Semeler, A. R., Sales, L. F., Pinto, A. L., da Silva de Paula, R. P., Gandra, V. C. P., & Costa, H. (2025). Defining geosciences research data through metadata reuse: A case study of the PANGEA data repository. Biblios.
9. Stark, P. B. (2018). No reproducibility without preproducibility. WORLD VIEW: A personal take on events.
10. Steventon, M., Jackson, C. A. L., Hall, S. A., Ireland, T. J., Munafo, M. R., & Roberts, S. A. (2022). A whole-system approach to improving reproducibility in subsurface geoscience. https://doi.org/10.3389/esss.2022.10051
11. Toelch, U., & Ostwald, D. (2018). Digital open science—Teaching digital tools for reproducible and transparent research. PLoS Biology, 16(7), e2006022. https://doi.org/10.1371/journal.pbio....
-------- Disclaimer
This podcast is generated using AI technology and may not always provide accurate information. While we strive to deliver valuable content, we recommend that you verify any claims and check the sources provided for accuracy. Please be sure to listen with discretion.
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