This is a read only archive of pad.okfn.org. See the shutdown announcement for details.

• Andreas Leimbach
• Kendra Sticht
• Tamara Heck
• Thilo Paul-Stüve
• Konrad Förstner
• Johanna Kuhnert
• Jasmin Schmitz

• Johannes presents his workflow
• How do I need to structure data so I can share it with others --> what kind of information is relevant for the others
• Important to plan ahead (see also translation below)
• Depends also on the field, how can I abstract the model/system
• International cooperations lack a common standard
• Translation issue
• Languages are very nuanced
• Comma decimal or thousand separator (D <=> USA)
• Data formats
• Psychology 90% use SPSS, sociology use STATA
• 
  
• What is the main target for openness? Think about it before the project
• Reproducibility:
• Script
• Syntax for SPSS
• Comment code, not only for others also for yourself!
• The why is missing often!
• The more open the data the better documentation etc has to be
• Literate programming
• Lower the hurdle to start automation/scripting, for data analysis --> teaching
• How to search, need a basic idea of the concepts
• There are a couple of good resources
• Codeacademy (https://www.codecademy.com/)
• Codeschool (https://www.codeschool.com/)
• Edx (https://www.edx.org/)
• Udacity (https://www.udacity.com/)
• Coursera (https://www.coursera.org/)
• Curriculum needs to change to involve statistics, programming
• Teachers need to have expertise
• Software Carpentry http://software-carpentry.org/
• Gives also an excellent instructor training
• Learning programming needs practicability
• Is it useful to share the workload, have dedicated data scientists, statisticians, bioinformaticians
• Careful with pet bioinformaticians, giving credit is important
• Also for public datasets, data literacy and statistics important