PyOpenSci Meeting Notes - 31 Jan 2019#

https://hackmd.io/sLhsQOtoTCq7594xNapLWg#

Attendees#

https://pyopensci.github.io/dev_guide/peer_review/peer_review_proc#aims-and-scope

Data retrieval: Packages for accessing and downloading data from online sources. Includes wrappers for accessing APIs.
Data extraction: Packages that aid in retrieving data from unstructured sources such as text, images and PDFs.
Data munging: Tools for processing data from scientific data formats.
Data deposition: Tools for depositing data in scientific research repositories.
Data visualization: Packages for visualizing and analyzing data.
Reproducibility: Tools to scientists ensure that their research is reproducible. E.g. version control, automated testing, or citation tools.
Geospatial: Packages focused on the retrieval, manipulation, and analysis of spatial data.
Education: Packages to aid with instruction.
Statistics/Machine Learning: Packages implementing established ML or statistics methods. Note that this does not include new methods, only implementations of previously published algorithms/techniques.

Comments

Max: let’s follow what ropensci is doing; ML may be hard to test (e.g. stochastic algorithms)
Chris: ML is more complex, may be hard to get reviewers;
rOpenSci doesn’t include data viz – do we want to include that or consider that??
- Chris will ask Karthik about not including data viz in rOpenSci
- Geoplot – as an example… https://github.com/ResidentMario/geoplot

Submission form: https://docs.google.com/forms/d/e/1FAIpQLScNO_scayKeQapQxZRNeFOqql35HY9nRc6gCpxEk8VkZBAkLQ/viewform
- asks for Moderator, Title, Abstract, Format = Open Discussion
  - March 18, 2019: BoF call for submissions opens
  - Jun 18, 2019: BoF submissions due
  - Jul 10-12, 2019: SciPy 2019 General Conference
Can we spend some time thinking about how people can engage with us…
- Mozilla concept of Mountain of Engagement
Can we get the BOF text from last year from Paige???