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Data Refuge: Preserving Data and Growing Literacy Justin Schell Shapiro Design Lab University of Michigan Library Environmental Data + Governance Initiative Thursday, July 20, 2017, 12-1 Eastern A project of the University of Michigan School


  1. Data Refuge: Preserving Data and Growing Literacy Justin Schell Shapiro Design Lab University of Michigan Library Environmental Data + Governance Initiative Thursday, July 20, 2017, 12-1 Eastern A project of the University of Michigan School of Information, U-M Library, and U-M School of Education. This project was made possible in part by the Institute of Museum and Library Services RE 00-00-15-0113-15.

  2. Sponsors

  3. Door Prizes

  4. Door Prize: 6 Months of Easel.ly Pro

  5. SCECHs Log in with your full name Attend all of at least 3 live sessions and up to 8 Scan your form and email to contact.data.literacy@umich.edu by Monday, July 24, AND mail it in (mailing is new this year). More information: http://dataliteracy.si.umich.edu/scech

  6. New in 2017! For those needing certificates … Follow SCECH instructions (scan and mail). Plus Go to http://bit.ly/4t-store ◆ Pay $25 there no later than Monday, July 24 ◆

  7. http://dataliteracy.si.umich.edu/conference #4tdl

  8. Join us in the chat! Where are you from?

  9. Data Refuge: Preserving Data and Growing Literacy Justin Schell Shapiro Design Lab University of Michigan Library Environmental Data + Governance Initiative Thursday, July 20, 2017, 12-1 Eastern A project of the University of Michigan School of Information, U-M Library, and U-M School of Education. This project was made possible in part by the Institute of Museum and Library Services RE 00-00-15-0113-15.

  10. Photo: Susan Phillips

  11. How many people have heard of Data Refuge or Data Rescue? How many people have been to a Data Rescue event?

  12. What is Data Refuge / Data Rescue?

  13. How do we do this? Communities of People With All Kinds of Knowledge and Skills Light-Speed Workflow Design and Iteration a.k.a. Make It Up as We Go

  14. Questions We Needed to Understand and Answer How do we judge what’s vulnerable ? Stuff online goes down all the time. How do we frame this so that everyone can contribute? How do we ensure provenance, accuracy, and authenticity of the data we download? Where do we draw the line for what constitutes “data”?

  15. Questions?

  16. Workflow

  17. Results 200TB of federal websites + data 350 Million URLs + Files

  18. Questions?

  19. What We’re Doing Now More Work + New Questions

  20. What We’re Doing Now Automating at Scale Collaborative (e.g., better) Understanding of Vulnerability “Death by a Thousand Cuts" Rethinking How We Preserve and Access (Federal) Data Continuing and Building on Community Success

  21. Public Data = Public Good

  22. How You Can Help Build Data Literacy Contribute to Citizen Science Projects Submit to the Internet Archive Zooniverse Metadata Annotation Share Your Concerns

  23. Recap: Questions? 1. Preserving federal Justin Schell data is a massive and evolving “all hands on deck” project. No one jmschell@umich.edu can do it alone and @612to651 there are many ways to help. 2. Public Data = Public Good. It is everyone’s benefit and responsibility.

  24. Please take the evaluation (link in chat) to be entered for door prizes!

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