Data Refuge: Preserving Data and Growing Literacy Justin Schell - - PowerPoint PPT Presentation

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Data Refuge: Preserving Data and Growing Literacy Justin Schell - - PowerPoint PPT Presentation

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


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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 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.

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Sponsors

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Door Prizes

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Door Prize: 6 Months of Easel.ly Pro

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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

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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

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

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Join us in the chat! Where are you from?

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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 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.

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Photo: Susan Phillips

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

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What is Data Refuge / Data Rescue?

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How do we do this?

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

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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”?

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Questions?

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Workflow

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200TB of federal websites + data 350 Million URLs + Files

Results

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Questions?

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What We’re Doing Now

More Work + New Questions

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What We’re Doing Now

Rethinking How We Preserve and Access (Federal) Data Automating at Scale “Death by a Thousand Cuts" Collaborative (e.g., better) Understanding of Vulnerability Continuing and Building

  • n Community Success
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Public Data = Public Good

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How You Can Help

Zooniverse Metadata Annotation Build Data Literacy Submit to the Internet Archive Contribute to Citizen Science Projects Share Your Concerns

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Recap:

1. Preserving federal data is a massive and evolving “all hands on deck” project. No one can do it alone and there are many ways to help. 2. Public Data = Public

  • Good. It is everyone’s

benefit and responsibility.

Questions?

Justin Schell jmschell@umich.edu @612to651

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