Publics & Principles

What do we do with cultural data, once it is collected?

Today’s discussion: When and how should we share cultural data?

Let’s Start with the Christen Piece

Why does Christen open her article with the Slashdot story about the Aboriginal archive and its use of new DRM?

What is Mukurtu? How was it developed and why?

What are the origins and problems with the idea of information wanting to be free?

Why is digital rights management important for cultural data?

  • What makes Mukurtu different from other digital platforms?
  • What is the problem of copyright in the context of indigenous cultural data?

How does this relate to the Colored Conventions Project?

What are some of the core CCP Principles?

How does this relate to the Lenna Image piece?

How did the Pudding track the spread of the image?

Why ask if “can data die?”

Why do we need alternatives to how data is managed and shared?

  • What are some of the tradeoffs between privacy and openness in data management?
  • What are the problems with valuing openness and public domain as default?
  • What are some of the ways we can ensure communities have a say in how their data is managed and shared?

Spectrum of Openness

Documentation as a lamp in the dark forest

Tidy data, briefly

Digital publishing: Some considerations for your final projects!

No universal answers, but every project answers each of these implicitly, so make it explicit:

  • Audience — Who is your audience? Scholars, general public, a specific community? Different audiences need different framings!
  • Accessibility — How accessible are your materials? Do you include alt text, open access, alternative formats, plain language summaries, etc?
  • Interactivity — How interactive are your materials? When do multimedia and interactive visualizations help, and when are they decoration?
  • Sustainability — How sustainable is your project? Who maintains this in 5 years?
  • Politics/Ethics — How does your project engage with communities? Do you have informed consent? Are you considering privacy and future use?
  • Transparency — How transparent is your project? Do you provide clear documentation, data sources, and methodologies?

Your Group Work & Principles

Let’s revisit the GitHub Guidelines

Remaining Classes

  • All coding assignments must be submitted by next Tuesday.
  • Please consult with the instructors about your final dataset to ensure it is feasible and within the scope of the course.
  • Please work on finalizing your group principles and cleaning up your group repository
  • All group projects will be downloaded May 15!