Brainstorming topic ideas for follow-up events / study group about 2018-07-09-fair-data-and-software

[katrinleinweber]

@lambo suggests Kibana, Vitro.

[rbirkelbach]

Packaging research software, dealing with dependencies etc

• packrat
• miniCRAN
• conda
• docker

Also interesting: drake

[katrinleinweber]

Suggesting people also go to the local Python-Meetup & RUG.

[david-morris]

Encouraging people to just share their code seems like a helpful tactic. Some aspects of this:

• See if we can find any evidence of sharing code leading to citations
• Give examples of mediocre code being cited anyway

This seems like it synchronizes with encouraging people to use Git.

[lambo]

Lessons learned and open issues when preparing a collaborative Gitbook: https://open-science-training-handbook.gitbook.io/book/ - This is an ongoing project; currently we're about to prepare GitHub based translation. I'd also come up with a few reflections and opinions on the difference between git-style collaboration on large text documents, versus continuous collaborative writing, like with Etherpad or Fiduswriter. (TL;DR Both have their strengths, and most probably you will have to use both methods in your large-scale open collaborative writing project. ;-) )

[david-morris]

We should also encourage people to go to the local Python-Meetup & RUG.

We might also be interested in the Linux Users Group

[katrinleinweber]

I started moving some of my own brainstormed ideas into the FAIR-studyGroup as issues

[Zack-83]

I would like to learn something about

• Structured objects:
  • creating new object structures;
  • creating new objects with given structure;
  • assigning a defined structure to an existing object (for instance, to convert a flat data frame in a deep, nonuniform list and viceversa);

with R or with a more suitable language.

• Semantic technologies:
  • creating ontologies = best practices and available software;
  • using ontologies = embedding of ontologies / vocabulary in metadata scheme;
  • design of search engines for advanced search.

[katrinleinweber]

Dear @Zack-83,

with "structured objects", do you mean stuff like TIBHannover/BacDiveR#31? I had to figure out how to coerce an externally downloaded, nesten JSON into a useful R-datastructure. Maybe https://www.rstudio.com/resources/videos/how-to-work-with-list-columns/ would be useful to you?

About "semantic technologies", I'm not sure... Please create further event suggestions as issues over here. And feel free to come to our events.