Nov 05 2019 55 mins 19
In episode 23, we interviewed Dan Quintana from the University of Oslo. We started the discussion with him by asking the link between all his subjects of interest and where R fits into his workflow. We then had an extensive discussion about R including his must have R packages and the synthpop package for generating synthetic datasets. We then widened the discussion and talked about the multiple facets of open science and reproducibility. Dan then talked about what he sees as one of the next big challenge of science. We finished the interview with our usual quick questions.
00:00:18 Introduction
00:00:39 Presentation of Dan Quintana
00:01:55 The links between his research interests
00:04:00 Where does R fits in his workflow
00:05:22 His 30 seconds elevator pitch for R
00:06:28 How difficult is it to switch from SPSS to R?
00:08:05 The best time to switch to R
00:08:40 JASP and Jamovi as a gateway to R
00:10:53 Standing on the shoulders of giants with R
00:12:15 R or Python?
00:14:00 Dan's must have R packages
00:15:59 Ressources to learn R
00:17:21 Introduction to synthetic datasets
00:21:54 Synthetic datasets for privacy and their limitations
00:24:52 How much time should be spent to publish datasets and code
00:26:58 Dan's view on open science practices
00:28:27 FLOSS and open science practices
00:30:49 The licence he uses for sharing code and data
00:32:06 Obtaining a DOI with the Open Science Framework
00:32:21 Journal of Open Source Software
00:34:15 The importance of publishing in open access journals
00:37:28 Publishig in open access journals and plan S
00:39:09 The lack of affordability for open access publishing
00:40:22 Preprints as a solution?
00:43:04 How to publish a perfectly reproducible paper
00:46:02 How to convince other scientists to share their data and code
00:46:42 The next big challenge of science
00:48:55 The most notable discovery in recent years
00:51:20 Favourite text processing tool
00:51:43 A topic in science he recently changed his mind about
00:52:49 Anything else?
00:53:34 How to contact Dan Quintana
00:53:56 Conclusion
00:00:18 Introduction
00:00:39 Presentation of Dan Quintana
00:01:55 The links between his research interests
00:04:00 Where does R fits in his workflow
00:05:22 His 30 seconds elevator pitch for R
00:06:28 How difficult is it to switch from SPSS to R?
00:08:05 The best time to switch to R
00:08:40 JASP and Jamovi as a gateway to R
00:10:53 Standing on the shoulders of giants with R
00:12:15 R or Python?
00:14:00 Dan's must have R packages
00:15:59 Ressources to learn R
00:17:21 Introduction to synthetic datasets
00:21:54 Synthetic datasets for privacy and their limitations
00:24:52 How much time should be spent to publish datasets and code
00:26:58 Dan's view on open science practices
00:28:27 FLOSS and open science practices
00:30:49 The licence he uses for sharing code and data
00:32:06 Obtaining a DOI with the Open Science Framework
00:32:21 Journal of Open Source Software
00:34:15 The importance of publishing in open access journals
00:37:28 Publishig in open access journals and plan S
00:39:09 The lack of affordability for open access publishing
00:40:22 Preprints as a solution?
00:43:04 How to publish a perfectly reproducible paper
00:46:02 How to convince other scientists to share their data and code
00:46:42 The next big challenge of science
00:48:55 The most notable discovery in recent years
00:51:20 Favourite text processing tool
00:51:43 A topic in science he recently changed his mind about
00:52:49 Anything else?
00:53:34 How to contact Dan Quintana
00:53:56 Conclusion
