open by default

a data management strategy

Lars Schöbitz

lschoebitz@ethz.ch

Global Health Engineering - ETH Zurich

June 12, 2023

Project

My role - Open Science Specialist

• research data management
• reproducible workflows
• mindset for Open Science
• research communication
• teaching data science tools
• proposal writing

Data Management Strategy

Characteristics

Data at Global Health Engineering

• small (few MBs)
• tabular
• non-sensitive
• topics
  • waste management
  • sanitation
  • air quality
  • etc.

Pain Points

Lost and overwhelmed

• terminology
• licensing
• security
• repositories

• terminology (underlying data, raw data, processed data, metadata, open sources, open access, …)
• licensing (CC-BY, MIT, public domain, code, data)
• security & privacy (phone numbers, GPS locations of houses)
• repositories (documentation, upload, maintenance)

Computational tools

• intimidating
• hard
• not everyone’s business

• jupyter notebooks
• open file formats
• version control systems

Scientist as a lone ranger

• acts alone
• exposure to tools
• own stack of tools
• the way to do it

• acts alone (until becoming a manager/professor)
• exposure to tools (100s throughout research career at different institutions)
• own stack of tools (builds their own individual worksflows -> not team oriented)
• the way to do it (doesn’t have time to learn what would be most effective for a team)

DMP?

https://github.com/Global-Health-Engineering/dmp-sor4d

Thanks! 🌻

Thanks

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