R summit talk

Transcript

1. Fostering a community of scientific R developers @_inundata karthik.io
2. bids.berkeley.edu
3. Scott Chamberlain Carl Boettiger
4. P values are just the tip of the iceberg Peng & Leek, 28 Apr 15
5. 50+ contributors • ~65 software tools Substantial contributor to CRAN
6. #1 Completing the data pipelines
7. Data retrieval (from APIs, data storage services, journals, and other remote servers). Data visualization (interactive graphics in R that extend beyond base and ggplot2).
 Data deposition into research repositories, including metadata generation.
 Data munging: With limited scope
 
 Reproducibility (any tools that facilitate reproducible research, such as interfacing with git, tracking provenance or similar).
9. Raw data DataONE CKAN Open Data Internet archive NOAA World Bank
10. Text corpus Public Library of Science (PLOS) Biomed Central eLife Springer IEEE arXiv preprints bioarxiv preprints Elsevier (just kidding) “The new science journalism and open science” http://blog.revolutionanalytics.com
11. Data viz ee_observations(genus = “lynx”) %>% ee_maps
12. DATA SHOULD BE machine readable
13. AUTOMATE BORING TASKS paint drying adding metadata
14. Data publication figshare dvn zenodo dat * + EML git2r pipelines from ‘ * services 㽉 * Both in development
16. #2 Building a user and developer community
17. Teach basic lab skills for scientific computing so that researchers can do more in less time and with less pain. Teach basic concepts, skills and tools for working more effectively with data. Workshops are designed for people with little to no prior computational experience. Building capacity
18. many transition from users to developers
19. Domain experts are often bad programmers
20. Only 19% of packages on CRAN have unit tests 
 
 46% of those rely on non-standard tests (i.e., a /tests/ directory but neither testthat or RUnit) Source: Oliver Keyes
21. /ropensci/onboarding
25. Empowering the next generation of R developers
27. “Absolutely stellar gender diversity” I think this is the most gender-balanced tech conference I’ve been to. Great diversity in career and academia too.”
28. Cultivating contributors
29. Cultivating contributions
32. THE NARRATIVE THE DATA THE CODE A RESEARCH PAPER
33. A RESEARCH PAPER
34. https:// /rOpenSci @rOpenSci