brglea [READING RESPONSE] FAIR and CARE

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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!).

[brglea]

@lijo8146 - I completed Week 2 Reading Response #246

Open data is important because it promotes the reuse of data in ways that both the metadata and data can be replicated or combined in different settings. Some ways that I can make my data more open and re-useable include: having a globally unique and persistent identifier, generous and extensive metadata, registering or indexing (meta)data in a searchable source, use standardized communication protocol, explaining how data is accessible under certain conditions, use a broadly applicable language, include qualified references to other (meta)data, and taking care in choosing a repository that allows for FAIR Principles.

While doing this reading I was reflecting on my own work so far. One interesting example I will call myself out on is the ‘(meta)data including qualified references to other (meta)data’ because I question if my First Map post would be meeting this. I included a section from a paper I wrote as part of my description (cited myself), but this paper was never published, so I would be referencing something that could not be found by others/ doesn't have a globally unique persistent identifier and wouldn't be meeting the FAIR data principles. (Now thinking I should change this or not quote myself?)

The CARE Principles are also important to take into account when trying to make my data more open and re-useable. The CARE Principles also highlight the drawbacks of Open Data that are in many ways similar to the art and archaeology areas, that have failed and in many ways continue to fail with respecting the authority of Indigenous Peoples to control their own data (art, artifcats, etc.) and if it’s use is permitted under certain conditions making sure that use is benefiting Indigenous People’s self determination and collective benefit. I think these CARE Principles while are specifically data related, their main points also cross industries.

Many of you may already be aware of the Denver Art Museum and their recent coverage in the news from earlier this year - Denver Art Museum Reparation Requests there’s also an article on the Denver Post but you have to be a member to access this particular article - Denver Post Article - Must be a member to access

In contrast, History Colorado, actively works with over 51 sovereign nations in their preservation work, has a Land Acknowledgement, and Anti-Racism Grounding Virtues