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earthlab-education / Earth-Analytics-AY24

Class repository for the Earth Analytics Professional Certificate program AY 2024
https://earthlab-education.github.io/Earth-Analytics-AY24/
MIT License
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[READING RESPONSE] FAIR and CARE #240

Open eculler opened 1 week ago

eculler commented 1 week ago

Discussed in https://github.com/earthlab-education/Earth-Analytics-AY24/discussions/192

Originally posted by **eculler** September 4, 2024 For the discussion board this week on open data, go ahead and check out: - [FAIR data principles](https://www.go-fair.org/fair-principles/) from GO FAIR. [GO FAIR. (n.d.). FAIR Principles. GO FAIR. Retrieved August 28, 2023, from https://www.go-fair.org/fair-principles/] - [FAIR and CARE data principles](https://www.gida-global.org/care) from the Global Indigenous Data Alliance, [CARE Principles. (2023, January 23). Global Indigenous Data Alliance. https://www.gida-global.org/care] Some questions to get you started: 1. Why is open data important? 2. What are some ways that you as a data manager or scientist can make your data more open and reusable? 3. What are some potential drawbacks of open data? As an extra, I recommend listening to this [RadioLab episode called NULL](https://radiolab.org/podcast/null). Note that you DO NOT NEED A DISCUSSION POST ON THIS. One of the things we're learning about is the differences between how computers interpret things and humans interpret them -- and this episode is a funny and accessible entry-point to these concepts. Think about these examples as you are running into your own errors -- perhaps with not quoting things that need to be quoted, or quoting things that shouldn't be quoted, or putting dashes into variables names (Python interprets that as a minus sign!).
eculler commented 1 week ago

/teamassign @earthlab-education/ea-students